Triple
T37231650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You Sexy Thing |
E923148
|
entity |
| Predicate | isEvergreenHit |
P144797
|
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: [You Sexy Thing, isEvergreenHit, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEvergreenHit Context triple: [You Sexy Thing, isEvergreenHit, true]
-
A.
isPerennialHit
chosen
Indicates that something (such as a work, product, or performance) consistently remains popular or successful over an extended period of time.
-
B.
isEarlyHitFor
Indicates that one entity is an initial or precursor success, discovery, or recognition that occurs early in relation to another entity.
-
C.
isSummerHit
Indicates that something (typically a song, movie, or product) achieved notable popularity or success specifically during the summer season.
-
D.
isMajorHit
Indicates that something (such as a work, product, or performance) has achieved a high level of success, popularity, or impact.
-
E.
isMajorHitIn
Indicates that a work (such as a song, film, or product) achieved major commercial success or popularity within a specified market, region, or context.
- 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_69f76ea7f0008190b31b8e30f3d05a71 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb4134225081909fd60703b8cae397 |
completed | May 6, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69fb35bf767081908de8345358ca7f44 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.