Triple
T3621678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buddy the Elf |
E76740
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | David Berenbaum |
E292624
|
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 Berenbaum | Statement: [Buddy the Elf, createdBy, David Berenbaum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Berenbaum Context triple: [Buddy the Elf, createdBy, David Berenbaum]
-
A.
David Berenbaum
chosen
David Berenbaum is an American screenwriter best known for writing the popular Christmas comedy film "Elf."
-
B.
Michael Berenbaum
Michael Berenbaum is an American film and television editor known for his work on numerous popular comedies and dramas.
-
C.
Jonathan Bornstein
Jonathan Bornstein is an American soccer player and defender best known for his long career in Major League Soccer and appearances with the United States men's national team.
-
D.
Edwin Schlossberg
Edwin Schlossberg is an American designer, artist, and author known for his innovative work in interactive museum and exhibition design.
-
E.
Jeffrey Auerbach
Jeffrey Auerbach is a film producer best known for his work on the stop-motion animated feature "Corpse Bride."
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2bb12cc8190bd67597cf3b66a3a |
completed | March 8, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4331e75d08190ad1ce3e7ef26454a |
completed | March 13, 2026, 3:54 p.m. |
Created at: March 8, 2026, 3:23 p.m.