Triple
T4741244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caleb Murray |
E105245
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Cooper Murray |
E100132
|
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: Cooper Murray | Statement: [Caleb Murray, hasRelative, Cooper Murray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cooper Murray Context triple: [Caleb Murray, hasRelative, Cooper Murray]
-
A.
Cooper Murray
chosen
Cooper Murray is one of the sons of American actor and comedian Bill Murray.
-
B.
Cooper Robertson
Cooper Robertson is a New York–based architecture and urban design firm known for major cultural and civic projects, including the new building for the Studio Museum in Harlem.
-
C.
Aidan Murdoch
Aidan Murdoch is a member of the Murdoch family, known primarily as a child of media executive Lachlan Murdoch.
-
D.
Callum Greene
Callum Greene is a film producer known for his work on major genre films, including Guillermo del Toro’s gothic horror movie "Crimson Peak."
-
E.
Dylan McLaughlin
Dylan McLaughlin is an American former child actor best known for his roles in family comedies and dramas in the early 2000s.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64a5f3548190a6acf1dcfd64d11d |
completed | March 20, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a28ca648190a44d178826926812 |
completed | March 21, 2026, 6:26 a.m. |
Created at: March 20, 2026, 1:19 p.m.