Triple
T20863474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How to Murder Your Wife |
E513684
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | George Axelrod |
—
|
NE NERFINISHED |
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: George Axelrod | Statement: [How to Murder Your Wife, producer, George Axelrod]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Axelrod Context triple: [How to Murder Your Wife, producer, George Axelrod]
-
A.
George Axelrod
chosen
George Axelrod was an American screenwriter, playwright, and director best known for his sharp, sophisticated comedies and adaptations, including work on classic mid-20th-century films.
-
B.
Richard B. Goodwin
Richard B. Goodwin was a British film producer known for his work on notable adaptations and genre films, including the 1974 version of "Murder on the Orient Express."
-
C.
Bud Schelling
Bud Schelling was a film editor known for his work on the 1953 Ed Wood film "Glen or Glenda."
-
D.
James Nourse
James Nourse was an 18th-century British sea captain involved in the transatlantic slave trade.
-
E.
Jonathan Axelrod
Jonathan Axelrod is an American television producer and writer best known for his work on sitcoms in the 1990s and 2000s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c45d2ec4819098abbb901b9fcd87 |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:44 p.m.