Triple
T14254857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Project Greenlight |
E353358
|
entity |
| Predicate | notableMentor |
P37817
|
FINISHED |
| Object | Chris Moore |
E298746
|
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: Chris Moore | Statement: [Project Greenlight, notableMentor, Chris Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Moore Context triple: [Project Greenlight, notableMentor, Chris Moore]
-
A.
Chris Moore
chosen
Chris Moore is an American film producer known for his work on acclaimed independent films, including the Oscar-winning drama "Manchester by the Sea."
-
B.
Nick Moore
Nick Moore is a British film editor best known for his work on popular films such as "Love Actually."
-
C.
Steve Moore
Steve Moore was a British comics writer best known for his influential work in fantasy and science fiction comics, including stories that inspired the 2014 film "Hercules."
-
D.
Rich Moore
Rich Moore is an American animation director and filmmaker best known for his work on acclaimed Disney films such as "Zootopia" and "Wreck-It Ralph."
-
E.
Tim Moore
Tim Moore is a film producer best known for his frequent collaborations with director Clint Eastwood on movies such as "Sully," "American Sniper," and "Gran Torino."
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62992a188190bc046fbab5a149d6 |
completed | April 14, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda904f8ac8190a4206b6ab6ee812c |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:09 a.m.