Triple
T6067527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep Impact |
E135196
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Paul Rubell |
E57783
|
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: Paul Rubell | Statement: [Deep Impact, editedBy, Paul Rubell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Rubell Context triple: [Deep Impact, editedBy, Paul Rubell]
-
A.
Paul Rubell
chosen
Paul Rubell is an American film editor known for his work on high-profile movies such as "The Insider," "Collateral," and "Transformers."
-
B.
Don Bachardy
Don Bachardy is an American portrait artist known for his long-term relationship with writer Christopher Isherwood and his distinctive drawings of notable cultural figures.
-
C.
Leo Kahn
Leo Kahn was an American entrepreneur and retail pioneer best known as a co-founder of the office-supplies giant Staples.
-
D.
Lanny Breuer
Lanny Breuer is an American lawyer who served as Assistant Attorney General for the U.S. Department of Justice’s Criminal Division and later became a prominent partner at Covington & Burling.
-
E.
Oscar de la Renta
Oscar de la Renta was a renowned Dominican-American fashion designer celebrated for his elegant, feminine couture and eveningwear, dressing numerous celebrities and first ladies.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057403a8081908b593472fcc0d699 |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d297ff88190a01b98f7ec9d9cf1 |
completed | March 23, 2026, 10:59 a.m. |
Created at: March 22, 2026, 4:10 p.m.