Triple
T9854160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | While She Was Out |
E239542
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Don Murphy |
E651597
|
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: Don Murphy | Statement: [While She Was Out, producer, Don Murphy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Murphy Context triple: [While She Was Out, producer, Don Murphy]
-
A.
Don Murphy
chosen
Don Murphy is an American film producer best known for helping launch and produce the live-action Transformers film franchise.
-
B.
Dennis Murphy
Dennis Murphy was an American sports entrepreneur best known for co-founding several upstart professional leagues, including the American Basketball Association.
-
C.
Phil Burke
Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
-
D.
Don Carmody
Don Carmody is a prolific Canadian film producer known for his work on numerous commercially successful and cult-favorite films across genres.
-
E.
Michael Maloney
Michael Maloney is a British actor known for his work in film, television, and theatre, including prominent roles in Shakespearean adaptations.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3960fb481909c90d6d6cafc6222 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e519c7a88190b8776b4af4908d1f |
completed | April 5, 2026, 10:41 p.m. |
Created at: March 30, 2026, 8:34 p.m.