Triple
T14524203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Son of a Gun (I Betcha Think This Song Is About You) |
E340729
|
entity |
| Predicate | hasConfrontationalTone |
P47753
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Son of a Gun (I Betcha Think This Song Is About You), hasConfrontationalTone, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConfrontationalTone Context triple: [Son of a Gun (I Betcha Think This Song Is About You), hasConfrontationalTone, true]
-
A.
hasDramaticTone
Indicates that something (such as a work, scene, or expression) is characterized by a heightened, intense, or emotionally charged tone.
-
B.
hasOppositionalPerception
Indicates that one entity perceives another entity, concept, or situation as being in opposition, conflict, or contradiction to itself or its interests.
-
C.
hasOppositionalElements
Indicates that something contains components or aspects that are in conflict, contrast, or opposition to each other.
-
D.
confronts
chosen
Indicates that one entity directly faces and challenges another, often in opposition or dispute.
-
E.
isOutspoken
Indicates that an entity consistently expresses opinions or beliefs openly, directly, and without hesitation.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea04f16f88190ba357b0f8021b46b |
completed | April 14, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c518fc08190a6ce4d8be05c4c5d |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.