Triple
T32131678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Touch of Pink |
E820662
|
entity |
| Predicate | hasImaginaryFriendMotif |
P95848
|
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: [Touch of Pink, hasImaginaryFriendMotif, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImaginaryFriendMotif Context triple: [Touch of Pink, hasImaginaryFriendMotif, true]
-
A.
hasImaginaryFriendCharacter
chosen
Indicates that an entity is associated with or has an imaginary friend character.
-
B.
hasImaginaryCharacter
Indicates that an entity includes, features, or is associated with a fictional or imaginary character.
-
C.
hasFictionalPet
Indicates that an entity has, owns, or is associated with a pet that is fictional or imaginary.
-
D.
hasImaginedIdentity
Indicates that an entity mentally constructs or adopts a non-actual identity, role, or persona for itself or another entity.
-
E.
hasFictionalSibling
Indicates that one entity is a fictional character who is a sibling of another entity.
- 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_69f349039e0c819091c7a7d322e3f46d |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: May 1, 2026, 12:29 a.m.