Triple
T4418170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lafayette High School |
E95027
|
entity |
| Predicate | hasAlumnusHonor |
P33557
|
FINISHED |
| Object | Pro Football Hall of Fame inductee |
—
|
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 Fame inductee | Statement: [Lafayette High School, hasAlumnusHonor, Pro Football Hall of Fame inductee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlumnusHonor Context triple: [Lafayette High School, hasAlumnusHonor, Pro Football Hall of Fame inductee]
-
A.
hasAlumni
Indicates that an institution or organization is associated with individuals who formerly attended or graduated from it.
-
B.
hasAlumniWhoWon
chosen
Indicates that an institution has alumni who have won a particular award, honor, or competition.
-
C.
nameHonors
Indicates that a name is given to honor, commemorate, or pay tribute to a particular entity.
-
D.
hasNotableHonor
Indicates that an entity has received a significant award, title, or formal recognition of distinction.
-
E.
isHonorSocietyFor
Indicates that an organization functions as an honor society specifically recognizing and serving the members of a particular group or field.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3551d5d7481908528c2de0a6fda06 |
completed | March 13, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69b34f5d0c54819085c08533bb58030a |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:29 p.m.