Triple
T34100271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Hendricks Foundation |
E874547
|
entity |
| Predicate | namesakeHonor |
P152438
|
FINISHED |
| Object | Pro Football Hall of Famer |
—
|
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: Pro Football Hall of Famer | Statement: [Ted Hendricks Foundation, namesakeHonor, Pro Football Hall of Famer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namesakeHonor Context triple: [Ted Hendricks Foundation, namesakeHonor, Pro Football Hall of Famer]
-
A.
namesakeDescription
Indicates that the object provides a descriptive explanation of why or how the subject is considered a namesake of something or someone.
-
B.
nameBearerHonor
chosen
Indicates that an entity bears or carries a name as an honor or mark of respect bestowed by another entity.
-
C.
namesakeDistinction
Indicates a relationship where one entity is distinguished from another entity that shares the same or a similar name, clarifying which specific namesake is meant.
-
D.
namesakeFamily
Indicates that one entity is a family or familial group that shares the same name as, or is named after, another entity.
-
E.
namesakeType
Indicates the specific kind or category of namesake relationship that exists between two entities (for example, one being named after the other as a person, place, event, or object).
- 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_69f349a735208190a1dbfb1c2a121059 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70c673ee4819090fb7ce38ba1c542 |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:53 a.m.