Triple
T2644755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Children of Men |
E62957
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Eric Newman |
E113260
|
NE FINISHED |
How this triple was built (2 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: Eric Newman | Statement: [Children of Men, producer, Eric Newman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Newman Context triple: [Children of Men, producer, Eric Newman]
-
A.
Eric Newman
chosen
Eric Newman is an American film and television producer best known for his work on crime dramas such as the Netflix series "Narcos."
-
B.
Mike Hartnett
Mike Hartnett is a person notable enough to be recognized as a distinct individual, though specific widely known public details about him are not clearly established.
-
C.
Jeremy Black
Jeremy Black is a British historian renowned for his prolific scholarship on military history, international relations, and the history of warfare.
-
D.
Tom Hartman
Tom Hartman is a central character in the satirical 1970s American soap opera parody "Mary Hartman, Mary Hartman," serving as Mary Hartman’s husband.
-
E.
Marc Ewing
Marc Ewing is an American software engineer and entrepreneur best known as a co-founder of the open-source software company Red Hat.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd917192081908e7a2cf780a17b83 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98c50d108190b716dd51c34d3759 |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:53 p.m.