Triple
T33309807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lizzie McGuire |
E852837
|
entity |
| Predicate | hasAnimatedAlterEgo |
P35240
|
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: [Lizzie McGuire, hasAnimatedAlterEgo, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnimatedAlterEgo Context triple: [Lizzie McGuire, hasAnimatedAlterEgo, yes]
-
A.
hasAlterEgoCostume
Indicates that an entity has a distinct costume specifically associated with its alter ego identity.
-
B.
hasFictionalAlterEgoOf
Indicates that one entity is the fictional alter ego, persona, or alternate identity of another entity.
-
C.
hasAlterEgoDevice
Indicates that an entity possesses or is associated with a device specifically used to enable, support, or manifest its alter ego.
-
D.
hasAgeTransformation
Indicates a relationship where an entity undergoes or causes a change in age or age-related state.
-
E.
isAnimated
chosen
Indicates that an entity possesses animation, meaning it is depicted or realized through moving images rather than static or live-action form.
- 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_69f349679fd8819093b9b40e989440e3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 1, 2026, 1:33 a.m.