Triple
T27738610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talk Tonight |
E697587
|
entity |
| Predicate | hasSongwriterShowcaseReputation |
P172121
|
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: [Talk Tonight, hasSongwriterShowcaseReputation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSongwriterShowcaseReputation Context triple: [Talk Tonight, hasSongwriterShowcaseReputation, true]
-
A.
hasSongwriterWithUnverifiedCredit
Indicates that an entity is associated with a songwriter whose authorship credit exists but has not been fully verified or confirmed.
-
B.
hasSongwriterOccupation
Indicates that an entity’s occupation or professional role is that of a songwriter.
-
C.
hasSongwriterPerspective
Indicates that the work is presented from the point of view or narrative stance of the songwriter.
-
D.
hasSingerSongwriter
Indicates that an entity is associated with a person who both sings and writes the songs for it.
-
E.
hasSongwriterCreditDispute
Indicates a relationship where there is a disagreement or conflict over who should be credited as the songwriter for a work.
- F. None of above. chosen
Provenance (4 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6a9603b208190b3533ea2b441514c |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a8de0b948190ae333e9cd99cbf6c |
completed | May 3, 2026, 1:46 a.m. |
Created at: April 27, 2026, 3:13 p.m.