Triple
T14798431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andre Davis |
E347839
|
entity |
| Predicate | parentIsProfessionalAthlete |
P116149
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Andre Davis, parentIsProfessionalAthlete, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentIsProfessionalAthlete Context triple: [Andre Davis, parentIsProfessionalAthlete, true]
-
A.
hasPlayedProfessionalSports
Indicates that an entity has participated as an athlete in an officially recognized professional-level sports competition or league.
-
B.
parentAthleticProgram
Indicates that one athletic program serves as the overarching or higher-level program to which another athletic program belongs or is subordinate.
-
C.
parentIsWorldChampion
Indicates that the subject has a parent who holds or has held the title of world champion in a particular field or competition.
-
D.
fatherSport
Indicates that a father participates in, is associated with, or is characterized by a particular sport.
-
E.
hasChildInSameProfession
Indicates that an individual has at least one child whose profession is the same as their own.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd6131f08190885f1d27b4bfac7a |
completed | April 14, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de90c5e3a08190868680b081308c1d |
completed | April 14, 2026, 7:08 p.m. |
Created at: April 10, 2026, 1:31 a.m.