Triple
T22541771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vashti M. Turley Murphy |
E557307
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 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: Murphy | Statement: [Vashti M. Turley Murphy, familyName, Murphy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murphy Context triple: [Vashti M. Turley Murphy, familyName, Murphy]
-
A.
Murphy
Murphy is a residential suburb located within the Dallas metropolitan area in Texas.
-
B.
Murphy
Murphy was the original name of the city now known as Sunnyvale, California.
-
C.
Murphy
"Murphy" is a 1938 novel by Irish writer Samuel Beckett, known for its dark humor and existential exploration of a man's struggle to find meaning and autonomy.
-
D.
Murphy
chosen
Murphy is a common Irish-origin surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
-
E.
Murphy
Murphy is a small town in far western North Carolina known as a gateway to the Appalachian Mountains and nearby outdoor recreation areas.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f3251808190a72b849157854d8d |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.