Triple
T4532324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CJ McCollum |
E106325
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | McCollum |
E298680
|
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: McCollum | Statement: [CJ McCollum, familyName, McCollum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McCollum Context triple: [CJ McCollum, familyName, McCollum]
-
A.
McCollum
chosen
McCollum is a surname of Scottish origin borne by various notable individuals across fields such as technology, sports, and politics.
-
B.
McCauley
McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
-
C.
Palmore
Palmore is a surname that functions as a variant form of the more common family name Palmer.
-
D.
Gossett
Gossett is the surname of Louis Gossett Jr., the acclaimed American actor known for his roles in "An Officer and a Gentleman" and "Roots."
-
E.
Toombs
Toombs is a surname of English origin borne by various notable individuals across politics, architecture, and other fields.
- 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd579f27ac8190ae9a4252109e56e1 |
completed | March 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdace3a81c8190963ea65fa3df23c0 |
completed | March 20, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:03 p.m.