Triple
T28927197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gordon Hartman |
E733682
|
entity |
| Predicate | usedProfitsFrom |
P29046
|
FINISHED |
| Object | San Antonio Scorpions |
—
|
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: San Antonio Scorpions | Statement: [Gordon Hartman, usedProfitsFrom, San Antonio Scorpions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedProfitsFrom Context triple: [Gordon Hartman, usedProfitsFrom, San Antonio Scorpions]
-
A.
profitsFrom
chosen
Indicates that one entity gains financial or material benefit as a result of another entity’s actions, existence, or situation.
-
B.
usedCapital
Indicates that an entity made use of a particular capital city as its seat of government or primary administrative center.
-
C.
becameProfitable
Indicates that an entity transitioned from operating at a loss or break-even to generating a net profit.
-
D.
earnedCurrency
Indicates that an entity has obtained a specified amount or type of currency as a result of some activity, work, or transaction.
-
E.
gainedFrom
Indicates that something is obtained, acquired, or derived as a result of a specified source or cause.
- 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_69f05b0b49b08190b8994b339c7980f6 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6645ba71c81908044ade6ab577018 |
completed | May 2, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 8:24 a.m.