Triple
T13639158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sikma move |
E325929
|
entity |
| Predicate | developedForPosition |
P4475
|
FINISHED |
| Object | big men |
—
|
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: big men | Statement: [Sikma move, developedForPosition, big men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developedForPosition Context triple: [Sikma move, developedForPosition, big men]
-
A.
developedPlayerFor
Indicates that one entity (such as a coach, club, or organization) was responsible for training, nurturing, or advancing the skills and career of a particular player.
-
B.
developedForProgram
Indicates that something was created, designed, or produced specifically to be used in or support a particular program.
-
C.
designedByPosition
Indicates that something is created or planned by an entity identified by a particular role or job position, rather than by a specific individual.
-
D.
appliesToPosition
chosen
Indicates that something (such as a rule, condition, or attribute) is relevant or applicable to a specific position or role.
-
E.
developedForDirector
Indicates that something (such as a work, project, or product) was created or developed specifically for a particular director.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:51 p.m.