Triple
T5840003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coburn |
E129566
|
entity |
| Predicate | hasNotablePersonWithGivenName |
P66645
|
FINISHED |
| Object | Coburn H. Wood |
—
|
NE NERFINISHED |
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: Coburn H. Wood | Statement: [Coburn, hasNotablePersonWithGivenName, Coburn H. Wood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotablePersonWithGivenName Context triple: [Coburn, hasNotablePersonWithGivenName, Coburn H. Wood]
-
A.
hasNotablePersonWithSurname
Indicates that an entity is associated with at least one notable person who bears a specified surname.
-
B.
hasNotablePersonConnection
Indicates that there exists a significant or noteworthy personal, professional, or historical relationship between the subject and the referenced person.
-
C.
hasNotablePersonAsFace
Indicates that an entity is publicly represented or symbolized by a specific notable person, such as a spokesperson, ambassador, or brand face.
-
D.
notableCulturalFigure
Indicates that a person holds significant influence or recognition within a culture’s arts, traditions, values, or public life.
-
E.
notablePersonDiscussed
Indicates that the subject entity includes or features a discussion about the referenced notable person.
- F. None of above. chosen
Provenance (4 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_69c0084af79c81908af128ccc29983d0 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c0334412388190bc594794ec5754f9 |
completed | March 22, 2026, 6:21 p.m. |
| PDg | Predicate description generation | batch_69c03c8d579081909d7b97fc9014b5d7 |
completed | March 22, 2026, 7:01 p.m. |
Created at: March 22, 2026, 3:54 p.m.