Triple
T17257402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cale Yarborough |
E418917
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Cale |
E824973
|
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: Cale | Statement: [Cale Yarborough, nickname, Cale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cale Context triple: [Cale Yarborough, nickname, Cale]
-
A.
Cale
chosen
Cale is a given name used for people and fictional characters, often as a variant of Kale or short form of names like Caleb.
-
B.
Cales
Cales is an ancient town in the region of Samnium in central-southern Italy, historically significant within the Roman administrative and geographic landscape.
-
C.
Calez
Calez is a Chicago-based hip-hop artist known for his introspective lyrics and collaborations within the city's independent rap scene.
-
D.
McCalla
McCalla is an unincorporated community in Jefferson County, Alabama, located southwest of Birmingham.
-
E.
Cavadee
Cavadee is a vibrant Tamil Hindu festival in Mauritius marked by elaborate body piercings, colorful wooden kavadi offerings, and processions to temples in devotion to Lord Murugan.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6dde4881908e7fc01fd5364616 |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170ff6818819090077dc4a7b774ae |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.