Triple
T14935753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Lilly |
E372386
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Olney, Texas |
E887756
|
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: Olney, Texas | Statement: [Bob Lilly, birthPlace, Olney, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olney, Texas Context triple: [Bob Lilly, birthPlace, Olney, Texas]
-
A.
Olney, Texas
chosen
Olney, Texas is a small rural city in Young County known for its agricultural economy and tight-knit community in North Texas.
-
B.
Onalaska, Texas
Onalaska, Texas is a small lakeside city in East Texas known for its location on the shores of Lake Livingston and its outdoor recreation opportunities.
-
C.
Oglethorpe, Texas
Oglethorpe, Texas is a small unincorporated community in Texas, United States.
-
D.
Lone Oak, Texas
Lone Oak, Texas is a small rural city in North Texas known for its close-knit community and agricultural surroundings.
-
E.
Van Alstyne, Texas
Van Alstyne, Texas is a small North Texas city known for its historic downtown, rural charm, and growing role as a bedroom community between Sherman and the Dallas–Fort Worth metroplex.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded647ae388190a0e97c03f2a4d832 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e8c8d188190b027f14256b0ce01 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:37 a.m.