Triple
T15389151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uptown Girls |
E367993
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | David Ray |
E875896
|
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: David Ray | Statement: [Uptown Girls, editor, David Ray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Ray Context triple: [Uptown Girls, editor, David Ray]
-
A.
David Ray
chosen
David Ray is a film editor best known for his work on the crime drama classic "Scarface."
-
B.
David Ray Roberts
David Ray Roberts is a former Major League Baseball outfielder and current manager, best known for his pivotal stolen base in the 2004 ALCS with the Boston Red Sox and for managing the Los Angeles Dodgers.
-
C.
Duane Denison
Duane Denison is an American guitarist best known for his innovative, angular playing style in the influential noise rock band The Jesus Lizard and later work with acts like Tomahawk.
-
D.
David Dill
David Dill is an American computer scientist known for his influential work in formal verification, model checking, and hardware verification.
-
E.
Don D. Scott
Don D. Scott is an American screenwriter best known for writing the hit comedy film "Barbershop" and its sequel.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e761b688190893a81246b735b76 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff134e37d881909f373b90a99fc067 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:19 a.m.