Triple
T4101144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Man |
E87942
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Tom Cross |
E221280
|
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: Tom Cross | Statement: [First Man, editor, Tom Cross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Cross Context triple: [First Man, editor, Tom Cross]
-
A.
Tom Cross
chosen
Tom Cross is an Academy Award–winning American film editor known for his work on acclaimed movies such as "Whiplash" and "La La Land."
-
B.
Brian Rogers
Brian Rogers is a film producer best known for his work on the 2014 reboot of the Godzilla franchise.
-
C.
Mike Wheeler
Mike Wheeler is a central character in the sci-fi horror series "Stranger Things," known as a loyal, determined member of the core friend group who helps confront supernatural threats in the town of Hawkins.
-
D.
Ed Scott
Ed Scott is a technology entrepreneur best known as a co-founder of BEA Systems, a major enterprise software company later acquired by Oracle.
-
E.
Tom Ryan
Tom Ryan is the central protagonist of the television series "The Unit," depicted as a highly skilled and seasoned leader of an elite U.S. Army special operations team.
- 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0ed168819093c83ba079d6725c |
completed | March 9, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b7833b081909bf5a87ee709b49f |
completed | March 14, 2026, 2:06 p.m. |
Created at: March 9, 2026, 3:40 p.m.