Triple
T9937232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eternals (film) |
E193988
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Nate Moore |
E232124
|
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: Nate Moore | Statement: [Eternals (film), producer, Nate Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nate Moore Context triple: [Eternals (film), producer, Nate Moore]
-
A.
Nate Moore
chosen
Nate Moore is an American film producer known for his work on numerous Marvel Cinematic Universe films, including the Black Panther series.
-
B.
Lance Moore
Lance Moore is a former American football wide receiver best known for his productive tenure with the New Orleans Saints, including contributing to their Super Bowl XLIV victory.
-
C.
Sean Moore
Sean Moore is the drummer and a founding member of the Welsh alternative rock band Manic Street Preachers.
-
D.
Nate Mitchell
Nate Mitchell is a technology entrepreneur best known as a co-founder of Oculus VR, a pioneering company in modern virtual reality hardware and software.
-
E.
Matt Moore
Matt Moore was an Irish-born American actor prominent in the silent and early sound film era, appearing in numerous Hollywood productions from the 1910s through the 1930s.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5e4e19881909879b394090d6629 |
completed | April 2, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d4528108190b38111bb36832a67 |
completed | April 5, 2026, 10:45 a.m. |
Created at: March 30, 2026, 8:44 p.m.