Triple
T2732385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elf |
E60344
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jon Berg |
E207645
|
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: Jon Berg | Statement: [Elf, producer, Jon Berg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Berg Context triple: [Elf, producer, Jon Berg]
-
A.
Jon Berg
chosen
Jon Berg is a film producer and studio executive known for his work on major Hollywood blockbusters, including several DC Extended Universe films.
-
B.
Christopher L. Yost
Christopher L. Yost is an American screenwriter and comic book writer known for his work on Marvel films and animated series, including co-writing the screenplay for Thor: Ragnarok.
-
C.
Michael Arndt
Michael Arndt is an Academy Award–winning American screenwriter known for acclaimed films such as Little Miss Sunshine and Toy Story 3.
-
D.
Drew Goddard
Drew Goddard is an American screenwriter, director, and producer known for works like "The Martian," "The Cabin in the Woods," and contributions to genre television series such as "Buffy the Vampire Slayer" and "Daredevil."
-
E.
David Frankel
David Frankel is an American film and television director best known for helming popular works such as "The Devil Wears Prada" and episodes of "Sex and the City."
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaf011548190beb9c3feee7b743f |
completed | March 7, 2026, 7:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb69eeedc81908ad654de9e1259ea |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:56 p.m.