Triple
T6332860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Superbad |
E142422
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Craig Alpert |
E445761
|
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: Craig Alpert | Statement: [Superbad, editedBy, Craig Alpert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Alpert Context triple: [Superbad, editedBy, Craig Alpert]
-
A.
Craig Alpert
chosen
Craig Alpert is a film editor known for his work on major Hollywood comedies and studio features.
-
B.
Duane Hitchings
Duane Hitchings is an American songwriter, keyboardist, and producer known for his work in rock and pop music, including collaborations with artists like Rod Stewart and Kim Carnes.
-
C.
Charles Gross
Charles Gross is an American composer best known for his film and television scores, including the soundtrack for the comedy film "Turner & Hooch."
-
D.
Robert N. Fitch
Robert N. Fitch was a composer best known for writing the University of California fight song "Fight for California."
-
E.
Douglas J. Foskett
Douglas J. Foskett was a British librarian and information scientist known for his influential work in library classification and information retrieval.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06517a1e88190a0bfcac8a7e3a305 |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a303b960819082981f0efbdce014 |
completed | March 28, 2026, 9:44 a.m. |
Created at: March 22, 2026, 4:30 p.m.