Triple
T21594937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ardanelle McCool |
E532873
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | McCool |
—
|
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: McCool | Statement: [Ardanelle McCool, hasFamilyName, McCool]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McCool Context triple: [Ardanelle McCool, hasFamilyName, McCool]
-
A.
McCool
chosen
McCool is a surname of Irish origin borne by various notable individuals, including American astronaut William C. McCool.
-
B.
Tré Cool
Tré Cool is the longtime drummer of the American punk rock band Green Day, known for his energetic playing style and stage presence.
-
C.
Millencolin
Millencolin is a Swedish punk rock band known for its energetic skate punk sound and international success in the 1990s and 2000s.
-
D.
Mikal
Mikal is a professional basketball player best known for his two-way play and durability in the NBA.
-
E.
Kool
Kool is a long-standing American menthol cigarette brand recognized for its distinctive marketing and association with menthol smoking.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefae07e388190baf1d67852c7e5db |
completed | April 27, 2026, 5:57 a.m. |
Created at: April 16, 2026, 6:32 p.m.