Triple
T5515047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Star |
E144660
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Stuart Heisler |
E235636
|
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: Stuart Heisler | Statement: [The Star, director, Stuart Heisler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stuart Heisler Context triple: [The Star, director, Stuart Heisler]
-
A.
Stuart Heisler
chosen
Stuart Heisler was an American film and television director known for his work in Hollywood from the 1930s through the 1960s, including dramas, thrillers, and war films.
-
B.
Ed Shaughnessy
Ed Shaughnessy was an American jazz drummer best known for his long tenure with Doc Severinsen’s band on The Tonight Show Starring Johnny Carson.
-
C.
Jim Hughson
Jim Hughson is a Canadian sportscaster best known as one of the premier play-by-play voices in NHL broadcasting.
-
D.
John Hadl
John Hadl was an American football quarterback and punter who starred at the University of Kansas before enjoying a long professional career, most notably with the San Diego Chargers in the AFL and NFL.
-
E.
Ted Cheesman
Ted Cheesman was a film editor best known for his work on classic Hollywood productions, including the 1933 monster film "King Kong."
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f5b4e988190b590b4157cf089c1 |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027d92e0c8190ad5552d66e370a22 |
completed | March 22, 2026, 5:33 p.m. |
Created at: March 22, 2026, 3:33 p.m.