Triple
T28701683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Play-Tone Records |
E729567
|
entity |
| Predicate | associatedFictionalArtist |
P62476
|
FINISHED |
| Object | The Wonders |
E308451
|
NE 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: The Wonders | Statement: [Play-Tone Records, associatedFictionalArtist, The Wonders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedFictionalArtist Context triple: [Play-Tone Records, associatedFictionalArtist, The Wonders]
-
A.
fictionalCharacterAssociatedWith
Indicates that there is a notable connection or association between a fictional character and another entity, such as a work, creator, or universe.
-
B.
hasFictionalPerformer
chosen
Indicates that an entity is associated with a performer who is a fictional or imaginary character rather than a real person.
-
C.
associatedWithFictionalGroup
Indicates that an entity has a connection or affiliation with a fictional group, organization, or collective.
-
D.
hasFictionalWork
Indicates that one entity is the creator, owner, or source of a fictional work associated with another entity.
-
E.
worksWithFictionalCharacter
Indicates that one entity collaborates or interacts in a work-related context with another entity that is a fictional character.
- F. None of above.
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_69f043e6e9688190b6bdd6e5665498ff |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_6a01b3af7b908190b4675c85d32d106c |
completed | May 11, 2026, 10:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1ccf4e6b908190a6da3c750f82f0de |
completed | June 1, 2026, 12:16 a.m. |
| PD | Predicate disambiguation | batch_6a01b35813c081908e484b2b9ca5dd05 |
completed | May 11, 2026, 10:45 a.m. |
Created at: April 28, 2026, 5:42 a.m.