Triple
T22840444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | To the Bone |
E566064
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Elliot Greenberg |
—
|
NE NERFINISHED |
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: Elliot Greenberg | Statement: [To the Bone, editedBy, Elliot Greenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elliot Greenberg Context triple: [To the Bone, editedBy, Elliot Greenberg]
-
A.
Elliot Greenberg
chosen
Elliot Greenberg is a film editor known for his work on major Hollywood productions, including the 2015 reboot of Fantastic Four.
-
B.
Irving Greenberg
Irving Greenberg is a modern Orthodox Jewish theologian and rabbi known for his influential post-Holocaust theology, which reinterprets Jewish faith, covenant, and ethics in light of the Shoah.
-
C.
Chester Greenburg
Chester Greenburg is one of the two dim-witted best friends whose misadventures drive the stoner comedy film "Dude, Where's My Car?".
-
D.
Phil Greenberg
Phil Greenberg is an immunologist and biotech entrepreneur known for pioneering work in cancer immunotherapy and co-founding Juno Therapeutics.
-
E.
Martin Greenberg
Martin Greenberg was an American publisher and editor best known for co-founding Gnome Press, which helped popularize early science fiction literature.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e83fa48819084568264ef45c833 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:35 p.m.