Triple
T11906463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It's Tough to be a Bug! |
E283283
|
entity |
| Predicate | includesEffect |
P92873
|
FINISHED |
| Object | seat movement |
—
|
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: seat movement | Statement: [It's Tough to be a Bug!, includesEffect, seat movement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesEffect Context triple: [It's Tough to be a Bug!, includesEffect, seat movement]
-
A.
areAffectedBy
Indicates that one entity experiences an effect, influence, or impact as a result of another entity or event.
-
B.
findsEffect
Indicates that one entity discovers, identifies, or determines the effect or outcome produced by another entity.
-
C.
usesEffectType
Indicates that an entity employs or is associated with a particular type or category of effect in its operation or behavior.
-
D.
hasTypeOfEffect
chosen
Indicates that one entity produces, exhibits, or is associated with a particular kind or category of effect on another entity or context.
-
E.
isQuantumEffect
Indicates that the relationship or phenomenon arises specifically from quantum mechanical principles or effects rather than classical behavior.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e5264b2081909bda6c24abb89725 |
completed | April 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.