Triple
T11230884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy Haslam |
E265815
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Haslam |
E53502
|
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: Haslam | Statement: [Jimmy Haslam, familyName, Haslam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haslam Context triple: [Jimmy Haslam, familyName, Haslam]
-
A.
Hagey
Hagey is a surname most notably associated with Gerald Hagey, a prominent Canadian academic and founding president of the University of Waterloo.
-
B.
Haymes
Haymes is a surname most notably associated with Argentine-born American singer and actor Dick Haymes, a popular crooner of the 1940s and 1950s.
-
C.
James A. Haslam II
chosen
James A. Haslam II is an American businessman and philanthropist best known as the founder of the truck stop and travel center chain Pilot Flying J.
-
D.
Heflin
Heflin is a small city in eastern Alabama that serves as the administrative and commercial hub of Cleburne County.
-
E.
Blamey
Blamey is a surname most notably associated with Sir Thomas Blamey, an Australian field marshal and senior military commander during World War II.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9026e1c81909456ac946bbba972 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad49b5cc8190b99cb2cd8de72109 |
completed | April 19, 2026, 10:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.