Triple
T8450268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Murphy |
E199781
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Murphy |
E67931
|
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: Murphy | Statement: [Ryan Murphy, familyName, Murphy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murphy Context triple: [Ryan Murphy, familyName, Murphy]
-
A.
Murphy
chosen
Murphy is a common Irish-origin surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
-
B.
Murphy
Murphy is a residential suburb located within the Dallas metropolitan area in Texas.
-
C.
Murphy Cooper
Murphy Cooper is a brilliant and determined scientist and the daughter of astronaut Joseph Cooper in the science-fiction film "Interstellar," whose research becomes pivotal to humanity's survival.
-
D.
Murf
Murf is a mysterious, gelatinous alien crew member in the animated series "Star Trek: Prodigy," known for its resilience, evolving abilities, and comic relief.
-
E.
Moran
Moran is a town in the Indian state of Assam, known historically as a regional commercial and cultural center in the Upper Assam area.
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe44707b88190b3d8b30c45ef4496 |
completed | March 31, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1dc85e48819083340d022d0dba9b |
completed | April 2, 2026, 7:42 a.m. |
Created at: March 30, 2026, 6:09 p.m.