Triple
T2753712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josh Harris-led ownership group |
E61049
|
entity |
| Predicate | roleOfJoshHarris |
P41660
|
FINISHED |
| Object | managing partner |
—
|
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: managing partner | Statement: [Josh Harris-led ownership group, roleOfJoshHarris, managing partner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfJoshHarris Context triple: [Josh Harris-led ownership group, roleOfJoshHarris, managing partner]
-
A.
roleOfHowardLutnick
Indicates that the specified role or position is held by Howard Lutnick.
-
B.
roleOfTedLeonsis
Indicates that the subject holds or is associated with a specific role, position, or capacity in relation to Ted Leonsis.
-
C.
roleOfGregPeters
Indicates that the specified role or position is held by Greg Peters.
-
D.
Ron Harper
Indicates a relationship or action involving Ron Harper, such as participation, association, or attribution connected to this individual.
-
E.
presidentOfBasketballOperations
Indicates that one entity holds the role or position of president of basketball operations for a basketball organization or team in relation to another entity.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb6ed9c08190824d1866e198ef80 |
completed | March 7, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69abd82d005c81908a1ac7a1313c6d88 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd91497ec8190927e91ad33549eda |
completed | March 7, 2026, 7:51 a.m. |
Created at: March 6, 2026, 9:56 p.m.