Triple
T6082068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary McDonnell |
E135545
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Michael Mell
Michael Mell is known as the son of American actress Mary McDonnell.
|
E566612
|
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: Michael Mell | Statement: [Mary McDonnell, hasChild, Michael Mell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Mell Context triple: [Mary McDonnell, hasChild, Michael Mell]
-
A.
Michael Christ
Michael Christ is a mathematician known for his contributions to harmonic analysis and partial differential equations, and for being a student of Elias Stein.
-
B.
Michael Athans
Michael Athans was a prominent control theorist and MIT professor known for his pioneering contributions to modern control theory and systems engineering.
-
C.
Michael Devin
Michael Devin is an American rock bassist best known for his work with the hard rock band Whitesnake.
-
D.
Michael Elliot
Michael Elliot is an American screenwriter best known for his work on romantic comedies and inspirational sports films, including the Queen Latifah–starring movie "Just Wright."
-
E.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
- 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: Michael Mell Triple: [Mary McDonnell, hasChild, Michael Mell]
Generated description
Michael Mell is known as the son of American actress Mary McDonnell.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Mell Target entity description: Michael Mell is known as the son of American actress Mary McDonnell.
-
A.
Michael Christ
Michael Christ is a mathematician known for his contributions to harmonic analysis and partial differential equations, and for being a student of Elias Stein.
-
B.
Michael Athans
Michael Athans was a prominent control theorist and MIT professor known for his pioneering contributions to modern control theory and systems engineering.
-
C.
Michael Devin
Michael Devin is an American rock bassist best known for his work with the hard rock band Whitesnake.
-
D.
Michael Elliot
Michael Elliot is an American screenwriter best known for his work on romantic comedies and inspirational sports films, including the Queen Latifah–starring movie "Just Wright."
-
E.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05774bc948190a446b27e83f7079b |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d57b5f481908d7df374837a486a |
completed | March 23, 2026, 11 a.m. |
| NEDg | Description generation | batch_69c11e89c75481908381df126a7b1661 |
completed | March 23, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11ef6971c8190b8dde5568b330b41 |
completed | March 23, 2026, 11:07 a.m. |
Created at: March 22, 2026, 4:11 p.m.