Triple
T20949619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batman: Year One (film) |
E515943
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Tab Murphy |
—
|
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: Tab Murphy | Statement: [Batman: Year One (film), writer, Tab Murphy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tab Murphy Context triple: [Batman: Year One (film), writer, Tab Murphy]
-
A.
Tab Murphy
chosen
Tab Murphy is an American screenwriter and director best known for his work on animated and adventure films, including several projects for Walt Disney Feature Animation.
-
B.
Kim Murphy
Kim Murphy is an actress known for her role in the teen drama film "The In Crowd."
-
C.
Berry Murphy
Berry Murphy is the child of Irish actor Aidan Gillen, known for his roles in series like "Game of Thrones" and "The Wire."
-
D.
Steven Murphy
Steven Murphy is a successful heart surgeon whose seemingly perfect family life unravels into psychological horror in the film "The Killing of a Sacred Deer."
-
E.
Leigh Curran
Leigh Curran is an American actress and writer known for her work in theater, film, and television, as well as for founding the nonprofit theater company The Virginia Avenue Project.
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fadc08148190b4ff710f94462a26 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 1:18 p.m.