Triple
T29220963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Images and Words tour |
E740801
|
entity |
| Predicate | associatedWithSingle |
P60695
|
FINISHED |
| Object | Pull Me Under |
E740783
|
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: Pull Me Under | Statement: [Images and Words tour, associatedWithSingle, Pull Me Under]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithSingle Context triple: [Images and Words tour, associatedWithSingle, Pull Me Under]
-
A.
associatedSingle
chosen
Indicates a one-to-one association where an entity is linked to exactly one corresponding related entity.
-
B.
associatedWithAssociation
Indicates a relationship where an entity is linked or connected to a particular association or organization.
-
C.
associatedWithRelationship
Indicates a general connection or involvement between entities through some form of relationship, without specifying its exact nature.
-
D.
associatedWithMatch
Indicates a relationship where an entity is linked or connected to a particular match or matching event.
-
E.
associatedWithComplex
Indicates that an entity has a relationship or connection with a specific complex, such as being part of it, interacting with it, or functionally linked to it.
- 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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_6a03352bb9688190b965d188769fcacd |
completed | May 12, 2026, 2:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a260bff6b688190b82b62770b2e3d99 |
completed | June 8, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_6a033329ae5c81909532843fe716ec77 |
completed | May 12, 2026, 2:03 p.m. |
Created at: April 28, 2026, 12:15 p.m.