Triple
T12495825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McCollum |
E298680
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | MacCollum |
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: MacCollum | Statement: [McCollum, hasVariant, MacCollum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MacCollum Context triple: [McCollum, hasVariant, MacCollum]
-
A.
McCallum
McCallum is the namesake of the McCallum Graduate School of Business, likely a notable benefactor or figure associated with the institution.
-
B.
McCallum
McCallum is a British television crime drama series starring John Hannah as a forensic pathologist solving complex murder cases.
-
C.
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.
-
D.
MacMullan
MacMullan is a surname most prominently associated with Jackie MacMullan, a renowned American sports journalist and NBA columnist.
-
E.
McCollum
chosen
McCollum is a surname of Scottish origin borne by various notable individuals across fields such as technology, sports, and politics.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64badad488190ae1c6c2883a88a4b |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.