Triple
T9788470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joy (Inside Out) |
E237545
|
entity |
| Predicate | inUniverseAgeGroup |
P90649
|
FINISHED |
| Object | ageless emotion |
—
|
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: ageless emotion | Statement: [Joy (Inside Out), inUniverseAgeGroup, ageless emotion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inUniverseAgeGroup Context triple: [Joy (Inside Out), inUniverseAgeGroup, ageless emotion]
-
A.
inUniverseAge
Indicates the age of an entity as measured within the timeline or continuity of a specific fictional or defined universe.
-
B.
representedAgeLevel
Indicates that one entity corresponds to, or is categorized under, a particular age level or age group.
-
C.
ageRange
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
D.
ageGroup
Indicates the categorical age range or bracket to which an entity belongs.
-
E.
inUniverse
Indicates that one entity exists, occurs, or is set within the fictional or conceptual universe defined by another entity.
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda2131164819099e8644e40a3cab6 |
completed | April 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69cd03d77c6c81909b675955bf113320 |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06aa8bc88190904be19c8953def8 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:27 p.m.