Triple
T11876125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lovie Smith |
E282531
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Big Sandy, Texas, United States |
E866503
|
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: Big Sandy, Texas, United States | Statement: [Lovie Smith, placeOfBirth, Big Sandy, Texas, United States]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Sandy, Texas, United States Context triple: [Lovie Smith, placeOfBirth, Big Sandy, Texas, United States]
-
A.
Big Sandy, Texas
chosen
Big Sandy, Texas is a small rural town in East Texas known for its close-knit community and location within Upshur County.
-
B.
Sand Flat, Texas
Sand Flat, Texas is a small unincorporated rural community located in Van Zandt County in northeastern Texas.
-
C.
Shenandoah, Texas
Shenandoah, Texas is a small suburban city in Montgomery County, north of Houston, known for its retail centers, medical facilities, and proximity to The Woodlands.
-
D.
Sanger, Texas
Sanger, Texas is a small city in Denton County known for its rural character and proximity to outdoor recreation at Ray Roberts Lake.
-
E.
Sweeny, Texas
Sweeny, Texas is a small city in Brazoria County that forms part of the Greater Houston metropolitan area.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be1b6a5c81909a18c54205dda09c |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281cac9a48190b4b0f4c53b41110f |
completed | April 29, 2026, 10:10 p.m. |
Created at: April 8, 2026, 9:44 p.m.