Triple
T20382516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W. Howard Lee |
E497872
|
entity |
| Predicate | notableFigureType |
P80281
|
FINISHED |
| Object | American Texas oilman |
—
|
LITERAL 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: American Texas oilman | Statement: [W. Howard Lee, notableFigureType, American Texas oilman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableFigureType Context triple: [W. Howard Lee, notableFigureType, American Texas oilman]
-
A.
notableCulturalFigure
Indicates that a person holds significant influence or recognition within a culture’s arts, traditions, values, or public life.
-
B.
notablePublicFigure
chosen
Indicates that the subject is widely recognized and holds a significant public profile or influence in society.
-
C.
notableFigureFeatured
Indicates that a notable or prominent individual is highlighted, showcased, or given special attention in the associated context or medium.
-
D.
notableAchiever
Indicates that an entity has achieved notable success, distinction, or recognition in a particular field or domain.
-
E.
namedPersonNotableFor
Indicates that a person is especially known or recognized for a particular work, role, achievement, or characteristic.
- F. None of above.
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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b208ec8190a09bf5fd947a2a02 |
completed | April 20, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:27 a.m.