Triple
T33509412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferret Face |
E858198
|
entity |
| Predicate | usedByOtherCharacters |
P192166
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Ferret Face, usedByOtherCharacters, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByOtherCharacters Context triple: [Ferret Face, usedByOtherCharacters, yes]
-
A.
usedByCharacter
Indicates that something (such as an item, ability, or resource) is utilized or employed by a particular character.
-
B.
usedByFictionalEntity
Indicates that something (e.g., an object, tool, or resource) is utilized or employed by a fictional entity.
-
C.
usedBySuperheroIdentity
Indicates that a particular item, tool, or resource is utilized by a given superhero identity.
-
D.
exploitedByCharacter
Indicates that a character takes unfair advantage of, manipulates, or otherwise uses another entity for their own benefit.
-
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. 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_69f3497721848190978fbee5e0a526f8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
| PDg | Predicate description generation | batch_69fcf82405c88190a19cecf8e9cc272d |
completed | May 7, 2026, 8:37 p.m. |
Created at: May 1, 2026, 1:38 a.m.