Triple
T6016941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Dickerson |
E133970
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Sealy, Texas, United States |
E454949
|
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: Sealy, Texas, United States | Statement: [Eric Dickerson, placeOfBirth, Sealy, Texas, United States]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sealy, Texas, United States Context triple: [Eric Dickerson, placeOfBirth, Sealy, Texas, United States]
-
A.
Sealy, Texas
chosen
Sealy, Texas is a small city in Austin County that serves as a western gateway to the Greater Houston metropolitan region.
-
B.
Selden, Texas
Selden, Texas is a small unincorporated rural community located in Erath County in north-central Texas.
-
C.
San Leon, Texas
San Leon, Texas is a small unincorporated coastal community in Galveston County that forms part of the greater Houston metropolitan region.
-
D.
Leo, Texas
Leo, Texas is a small rural unincorporated community located in Cooke County in north-central Texas.
-
E.
Seguin, Texas, United States
Seguin is a small historic city in south-central Texas, United States, known for its German heritage and location along the Guadalupe River.
- 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f8458588190a78aa32cbdbecfb1 |
completed | March 22, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108b2f09081908e94f1932aad6e58 |
completed | March 23, 2026, 9:32 a.m. |
Created at: March 22, 2026, 4:06 p.m.