Triple
T29345626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "I don't get no respect" |
E744163
|
entity |
| Predicate | firstPersonSubject |
P125278
|
FINISHED |
| Object | "I" |
—
|
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: "I" | Statement: ["I don't get no respect", firstPersonSubject, "I"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPersonSubject Context triple: ["I don't get no respect", firstPersonSubject, "I"]
-
A.
usesFirstPersonNarrator
chosen
Indicates that a narrative work is told from the perspective of an "I" character who is part of the story.
-
B.
primaryPerspective
Indicates that one entity serves as the main or dominant viewpoint, angle, or interpretive frame through which another entity is understood, presented, or analyzed.
-
C.
narrativeSubject
Indicates that an entity functions as the main subject or focal point within a narrative or story.
-
D.
primaryPersona
Indicates that one entity is the main or most representative persona associated with another entity, distinguishing it from any secondary or supporting personas.
-
E.
narrativePerspective
Indicates the point of view or vantage from which a narrative is told, specifying the relationship between the storyteller and the events being described.
- 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_69f0a79a2d748190bc30abd469298b37 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_6a00c07b302081908bf9755f8fdbc36e |
completed | May 10, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_6a00bfffb168819084b65804d601896d |
completed | May 10, 2026, 5:27 p.m. |
Created at: April 28, 2026, 2:01 p.m.