Triple
T10325639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tully |
E242753
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Eric Steelberg |
E317958
|
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: Eric Steelberg | Statement: [Tully, cinematographyBy, Eric Steelberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Steelberg Context triple: [Tully, cinematographyBy, Eric Steelberg]
-
A.
Eric Steelberg
chosen
Eric Steelberg is an American cinematographer known for his work on feature films such as "Juno," "Up in the Air," and "500 Days of Summer."
-
B.
Joseph Silverstein
Joseph Silverstein was an American violinist and conductor best known as concertmaster and later assistant conductor of the Boston Symphony Orchestra and as a prominent teacher.
-
C.
Ian Siegel
Ian Siegel is an American entrepreneur best known as the co-founder and longtime CEO of the online employment marketplace ZipRecruiter.
-
D.
Max Steinberg
Max Steinberg is an American professional poker player known for his success in World Series of Poker events, including winning a WSOP bracelet.
-
E.
Jonathan Stern
Jonathan Stern is an American film and television producer best known for his work on offbeat comedies such as "Wet Hot American Summer" and various projects for Adult Swim and streaming platforms.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cd76348190b93562112300acfc |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e4aef148190be58486605f85f77 |
completed | April 10, 2026, 8:32 p.m. |
Created at: April 6, 2026, 11:51 a.m.