Triple
T9839235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salvador |
E239179
|
entity |
| Predicate | starredActor |
P5563
|
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: [Salvador, starredActor, Michael Murphy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Murphy Context triple: [Salvador, starredActor, Michael Murphy]
-
A.
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."
-
B.
Michael Murphy
Michael Murphy is a musician best known as a member of the alternative rock band Concrete Blonde.
-
C.
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."
-
D.
Michael R. Murphy
Michael R. Murphy is an American jurist who served as a judge on the United States Court of Appeals for the Tenth Circuit.
-
E.
Michael P. Murphy
Michael P. Murphy was a U.S. Navy SEAL officer and Medal of Honor recipient renowned for his heroism during Operation Red Wings in Afghanistan, as depicted in the book and film "Lone Survivor."
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb34921b881909836ba0f5b42a27b |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5d145ac8190ad10a4328216ef54 |
completed | April 5, 2026, 3:24 a.m. |
Created at: March 30, 2026, 8:33 p.m.