Triple
T32131655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Touch of Pink |
E820662
|
entity |
| Predicate | imaginaryCharacterPortrayedBy |
P54972
|
FINISHED |
| Object | Kyle MacLachlan |
—
|
NE NERFINISHED |
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: Kyle MacLachlan | Statement: [Touch of Pink, imaginaryCharacterPortrayedBy, Kyle MacLachlan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imaginaryCharacterPortrayedBy Context triple: [Touch of Pink, imaginaryCharacterPortrayedBy, Kyle MacLachlan]
-
A.
portraysFictionalEntity
Indicates that one entity depicts, represents, or plays the role of a fictional character or figure.
-
B.
characterPortrayedIs
chosen
Indicates that one entity serves as the fictional or dramatic role that is depicted or played by another entity.
-
C.
fictionalCharacterAssociatedWith
Indicates that there is a notable connection or association between a fictional character and another entity, such as a work, creator, or universe.
-
D.
representedByCharacter
Indicates that one entity is depicted, symbolized, or personified by a particular character in a work or medium.
-
E.
attendedByFictionalCharacter
Indicates that a fictional character is present at, participates in, or is an attendee of a particular event or gathering.
- 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_69f6b97009cc819093326ec5c6a56083 |
completed | May 3, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:29 a.m.