Triple
T11333328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Here Comes My Girl |
E268403
|
entity |
| Predicate | featuresSpokenWordStyle |
P72423
|
FINISHED |
| Object | verses delivered in spoken-word style by Tom Petty |
—
|
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: verses delivered in spoken-word style by Tom Petty | Statement: [Here Comes My Girl, featuresSpokenWordStyle, verses delivered in spoken-word style by Tom Petty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSpokenWordStyle Context triple: [Here Comes My Girl, featuresSpokenWordStyle, verses delivered in spoken-word style by Tom Petty]
-
A.
rhetoricalStyle
Indicates the characteristic manner or technique of expression used in communication, such as tone, structure, and persuasive strategies.
-
B.
speakerFeatures
Indicates that certain characteristics, attributes, or properties are associated with a speaker in a given context.
-
C.
performanceStyle
Indicates the manner or style in which an action, work, or performance is carried out or presented.
-
D.
featuresSpokenVerses
chosen
Indicates that something includes or presents spoken verses as a notable component or element.
-
E.
librettoStyle
Indicates the stylistic characteristics or manner in which a libretto (the text of an opera or similar work) is written or composed.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9fe5d5881908d786b212a554d8b |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787afe5a48190b8af1a3e19529641 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:33 p.m.