Triple
T14103041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WC |
E339430
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Calhoun |
E132694
|
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: Calhoun | Statement: [WC, familyName, Calhoun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calhoun Context triple: [WC, familyName, Calhoun]
-
A.
Calhoun
chosen
Calhoun is a small city in northwest Georgia known for its location along Interstate 75 and its role as a commercial and historical hub of Gordon County.
-
B.
Colemore
Colemore is a small rural village and civil parish in East Hampshire, England, known for its historic church and agricultural surroundings.
-
C.
Tuberville
Tuberville is the surname of Tommy Tuberville, an American politician and former college football coach.
-
D.
Broderick
Broderick is the birth name of American comedian, television host, and actor Steve Harvey.
-
E.
Broderick
Broderick is a surname of Irish origin borne by various notable individuals in fields such as acting, politics, and sports.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fbbf0b08190ba1ea3657d6db005 |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0b2ade08190a56e9ecf659f83b9 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.