Triple
T23689277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ophiocordyceps |
E585254
|
entity |
| Predicate | affectsBehaviorOf |
P153409
|
FINISHED |
| Object | ants |
—
|
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: ants | Statement: [Ophiocordyceps, affectsBehaviorOf, ants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectsBehaviorOf Context triple: [Ophiocordyceps, affectsBehaviorOf, ants]
-
A.
affectsRelationshipBetween
Indicates that one entity causes a change or influence on the nature, quality, or status of the relationship between two or more other entities.
-
B.
alsoAffects
Indicates that an action, condition, or change impacting one entity additionally impacts another entity as well.
-
C.
affectsPhenomenon
Indicates that one phenomenon produces an influence or change on another phenomenon.
-
D.
areAffectedBy
Indicates that one entity experiences an effect, influence, or impact as a result of another entity or event.
-
E.
affectsProgram
Indicates that one entity produces an influence or change on a program, altering its behavior, state, or outcome.
- 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_69e249037ce0819088b149608e98f685 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b5c0a218819096c2d174b004c47d |
completed | April 29, 2026, 7:39 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f157cc43a881909ed2d8b0a09b5d73 |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 17, 2026, 6:52 p.m.