Triple
T3066395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tea with Mussolini |
E62112
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Charlie Lucas
Charlie Lucas is an actor known for his role in the film "Tea with Mussolini."
|
E322788
|
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: Charlie Lucas | Statement: [Tea with Mussolini, starring, Charlie Lucas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlie Lucas Context triple: [Tea with Mussolini, starring, Charlie Lucas]
-
A.
Christopher Clayton
Christopher Clayton is a distinguished geoscientist recognized for his significant contributions to the Earth sciences, as evidenced by his receipt of the prestigious William Smith Medal.
-
B.
Jonathan Lucas
Jonathan Lucas is a film editor known for his work on the feature film "Troop Zero."
-
C.
Henry Lucas
Henry Lucas was a 17th-century English clergyman, politician, and benefactor whose endowment led to the creation of the prestigious Lucasian Chair of Mathematics at the University of Cambridge.
-
D.
Nicholas Lucas
Nicholas Lucas was an early colonial leader known for helping establish the West Jersey settlement in what is now New Jersey.
-
E.
Charlie Reid
Charlie Reid is a Scottish musician and songwriter best known as one half of The Proclaimers, the band behind hits like "I'm Gonna Be (500 Miles)" and "Sunshine on Leith."
- 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: Charlie Lucas Triple: [Tea with Mussolini, starring, Charlie Lucas]
Generated description
Charlie Lucas is an actor known for his role in the film "Tea with Mussolini."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charlie Lucas Target entity description: Charlie Lucas is an actor known for his role in the film "Tea with Mussolini."
-
A.
Christopher Clayton
Christopher Clayton is a distinguished geoscientist recognized for his significant contributions to the Earth sciences, as evidenced by his receipt of the prestigious William Smith Medal.
-
B.
Jonathan Lucas
Jonathan Lucas is a film editor known for his work on the feature film "Troop Zero."
-
C.
Henry Lucas
Henry Lucas was a 17th-century English clergyman, politician, and benefactor whose endowment led to the creation of the prestigious Lucasian Chair of Mathematics at the University of Cambridge.
-
D.
Nicholas Lucas
Nicholas Lucas was an early colonial leader known for helping establish the West Jersey settlement in what is now New Jersey.
-
E.
Charlie Reid
Charlie Reid is a Scottish musician and songwriter best known as one half of The Proclaimers, the band behind hits like "I'm Gonna Be (500 Miles)" and "Sunshine on Leith."
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0fd87308190918e7b616f033faa |
completed | March 8, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef16cf2881908265dfe8a1e3424d |
completed | March 11, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69b1f028cd0881909b35bf1870aae534 |
completed | March 11, 2026, 10:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f0a0f15481909f71c702ecc93924 |
completed | March 11, 2026, 10:45 p.m. |
Created at: March 8, 2026, 3:02 p.m.