Triple
T22794310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray McAnally |
E564198
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Cal |
—
|
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: Cal | Statement: [Ray McAnally, notableWork, Cal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cal Context triple: [Ray McAnally, notableWork, Cal]
-
A.
Cal
Cal is the commonly used short name for the University of California, Berkeley and its associated athletic programs.
-
B.
Cal
Cal is the given name of professional baseball pitcher Cal Quantrill.
-
C.
Cal
Cal is a masculine given name, often used as a short form of names like Calvin, Callum, or Caleb.
-
D.
Cal
chosen
Cal is a 1983 Irish drama film, based on Bernard MacLaverty’s novel, that explores the life of a young Catholic man entangled with the IRA during the Troubles in Northern Ireland.
-
E.
Cal
Cal is the nickname and given name of Cal McNair, the American businessman and principal owner of the NFL’s Houston Texans.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cd81794819091b528600e322d7b |
completed | April 29, 2026, 3:36 a.m. |
Created at: April 17, 2026, 3:30 p.m.