Triple
T6557936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timothée Chalamet |
E152497
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Marc Chalamet
Marc Chalamet is a French journalist and editor best known as the father of actor Timothée Chalamet.
|
E610099
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Marc Chalamet | Statement: [Timothée Chalamet, parent, Marc Chalamet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc Chalamet Context triple: [Timothée Chalamet, parent, Marc Chalamet]
-
A.
Timothée Chalamet
Timothée Chalamet is an American actor known for his critically acclaimed performances in films such as "Call Me by Your Name," "Dune," and "Lady Bird."
-
B.
Jacob Elordi
Jacob Elordi is an Australian actor best known for his breakout role as Nate Jacobs in the HBO series "Euphoria" and for starring in films such as "The Kissing Booth" and "Priscilla."
-
C.
David Corenswet
David Corenswet is an American actor best known for being cast as Superman/Clark Kent in James Gunn’s upcoming DC Universe film "Superman" (2025).
-
D.
Ansel Elgort
Ansel Elgort is an American actor and musician best known for his roles in films such as "The Fault in Our Stars," the "Divergent" series, and "Baby Driver."
-
E.
Lucas Hedges
Lucas Hedges is an American actor known for his acclaimed performances in films such as "Manchester by the Sea," "Lady Bird," and "Boy Erased."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Marc Chalamet Triple: [Timothée Chalamet, parent, Marc Chalamet]
Generated description
Marc Chalamet is a French journalist and editor best known as the father of actor Timothée Chalamet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marc Chalamet Target entity description: Marc Chalamet is a French journalist and editor best known as the father of actor Timothée Chalamet.
-
A.
Timothée Chalamet
Timothée Chalamet is an American actor known for his critically acclaimed performances in films such as "Call Me by Your Name," "Dune," and "Lady Bird."
-
B.
Jacob Elordi
Jacob Elordi is an Australian actor best known for his breakout role as Nate Jacobs in the HBO series "Euphoria" and for starring in films such as "The Kissing Booth" and "Priscilla."
-
C.
David Corenswet
David Corenswet is an American actor best known for being cast as Superman/Clark Kent in James Gunn’s upcoming DC Universe film "Superman" (2025).
-
D.
Ansel Elgort
Ansel Elgort is an American actor and musician best known for his roles in films such as "The Fault in Our Stars," the "Divergent" series, and "Baby Driver."
-
E.
Lucas Hedges
Lucas Hedges is an American actor known for his acclaimed performances in films such as "Manchester by the Sea," "Lady Bird," and "Boy Erased."
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae1eb0888190a67b850ac2bca79c |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eed99a1c8190b37da0ffed24e203 |
completed | March 27, 2026, 8:55 p.m. |
| NEDg | Description generation | batch_69c6f09ea58c8190bfd8a183581b5a5a |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f1a0935881908afc30ce76bdf76f |
completed | March 27, 2026, 9:07 p.m. |
Created at: March 27, 2026, 1:52 p.m.