Triple
T1781916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justice League |
E39308
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | David Brenner |
E236325
|
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 Brenner | Statement: [Justice League, editedBy, David Brenner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Brenner Context triple: [Justice League, editedBy, David Brenner]
-
A.
David Brenner
chosen
David Brenner was an American film editor known for his work on major Hollywood blockbusters, including several of director Zack Snyder’s films.
-
B.
Greg Grunberg
Greg Grunberg is an American actor best known for his roles in television series such as "Heroes," "Alias," and "Felicity," as well as appearances in major film franchises.
-
C.
Nick Frenkel
Nick Frenkel is a television producer best known for his work as an executive producer on the long-running comedy series "It's Always Sunny in Philadelphia."
-
D.
Dan Lebental
Dan Lebental is an American film editor best known for his long-time collaboration with director Jon Favreau on major studio films such as the Iron Man series.
-
E.
Alan Baumgarten
Alan Baumgarten is an American film editor known for his work on a variety of feature films and television projects.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64e34fe881908aa75f2b4141b87b |
completed | March 6, 2026, 5:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf15a4248190b898e3bfbeb2997a |
completed | March 10, 2026, 5:41 a.m. |
Created at: March 4, 2026, 7:31 p.m.