Triple
T35198346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bradley "Rooster" Bradshaw |
E1016329
|
entity |
| Predicate | reasonForResentment |
P193440
|
FINISHED |
| Object | Maverick pulled his Naval Academy papers |
—
|
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: Maverick pulled his Naval Academy papers | Statement: [Bradley "Rooster" Bradshaw, reasonForResentment, Maverick pulled his Naval Academy papers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForResentment Context triple: [Bradley "Rooster" Bradshaw, reasonForResentment, Maverick pulled his Naval Academy papers]
-
A.
causeOfResentment
chosen
Indicates that one entity is the source or reason for another entity’s feeling of resentment.
-
B.
reasonWritten
Indicates that one entity is the reason or motivation for which another entity was written or authored.
-
C.
reasonForCurse
Indicates the cause, justification, or triggering event that led to a curse being placed on someone or something.
-
D.
causeOfVengeance
Indicates a relationship where one entity is the reason or trigger for another entity’s desire or act of vengeance.
-
E.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
- 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_69f76dde814c8190a71f60d514a424a4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fdd07a34c08190982b8c61c2775cf6 |
completed | May 8, 2026, noon |
| PD | Predicate disambiguation | batch_69fdbd25c7908190b72fca8de7ce503f |
completed | May 8, 2026, 10:38 a.m. |
Created at: May 3, 2026, 4:02 p.m.