Triple
T24759284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timmy Allen |
E619384
|
entity |
| Predicate | preProfessionalCareer |
P127450
|
FINISHED |
| Object | NCAA basketball |
—
|
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: NCAA basketball | Statement: [Timmy Allen, preProfessionalCareer, NCAA basketball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preProfessionalCareer Context triple: [Timmy Allen, preProfessionalCareer, NCAA basketball]
-
A.
plannedCareer
Indicates that an individual has chosen and intends to pursue a specific career path.
-
B.
professionPreparedFor
Indicates that an entity has been trained or equipped to perform a particular profession or occupational role.
-
C.
professionBeforePolitics
Indicates that a person’s occupation or career occurred prior to their involvement in politics.
-
D.
precedesInCareer
chosen
Indicates that one entity’s role, position, or stage in a professional path occurs earlier in time than another entity’s corresponding role, position, or stage in that same career trajectory.
-
E.
earlierOccupation
Indicates that one occupation held by an entity occurred before another occupation in that entity’s work history.
- 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_69e2fabbea94819092ed41348909622f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410a25ab88190a72db43043c1f6ff |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:27 a.m.