Triple
T28161438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali Farokhmanesh |
E714905
|
entity |
| Predicate | upsetOpponent |
P25451
|
FINISHED |
| Object | Kansas Jayhawks men's 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: Kansas Jayhawks men's basketball | Statement: [Ali Farokhmanesh, upsetOpponent, Kansas Jayhawks men's basketball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: upsetOpponent Context triple: [Ali Farokhmanesh, upsetOpponent, Kansas Jayhawks men's basketball]
-
A.
upset
chosen
Indicates that one entity causes another to feel distressed, unhappy, or emotionally disturbed.
-
B.
isEmbittered
Indicates that an entity harbors persistent bitterness or resentment, typically as a result of past experiences or perceived wrongs.
-
C.
temporarilyEnemyOf
Indicates a relationship where two entities are in a state of enmity or opposition for a limited, non-permanent period of time.
-
D.
belligerentAgainst
Indicates a hostile or aggressive stance, conflict, or antagonistic behavior directed by one entity against another.
-
E.
consequenceForOpponents
Indicates that one party’s actions or status result in negative outcomes, penalties, or repercussions specifically for their opponents.
- 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_69efd6b156448190bfa15958208395c3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f641eb9eec8190a50b58f0f28983b8 |
completed | May 2, 2026, 6:26 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 10:06 p.m.