Triple
T14610461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor Kitsch |
E342944
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object | Michael Murphy |
E305275
|
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: Michael Murphy | Statement: [Taylor Kitsch, playedCharacter, Michael Murphy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Murphy Context triple: [Taylor Kitsch, playedCharacter, Michael Murphy]
-
A.
Michael Murphy
Michael Murphy is a musician best known as a member of the alternative rock band Concrete Blonde.
-
B.
Michael Murphy
chosen
Michael Murphy is an American character actor known for his frequent collaborations with director Robert Altman and roles in films such as "Batman Returns," "Nashville," and "Manhattan."
-
C.
Michael Murphy
Michael Murphy is an American architect and co-founder of MASS Design Group, known for his socially conscious, community-centered design work around the world.
-
D.
Michael C. Murphy
Michael C. Murphy is a creator best known for his work on the children's animated television series "Octonauts."
-
E.
Michael S. Murphy
Michael S. Murphy is a film and television editor best known for his work on the 1997 musical fantasy film "Rodgers & Hammerstein's Cinderella."
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44f0dd48190a78662b5998a6722 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda91f437c8190ada4d1c3708faedd |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:25 a.m.