Triple
T12893277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Moscow as young Josh Baskin |
E308421
|
entity |
| Predicate | ageDepictionConsistency |
P107302
|
FINISHED |
| Object | matchesAdultJoshPersonalityTraits |
—
|
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: matchesAdultJoshPersonalityTraits | Statement: [David Moscow as young Josh Baskin, ageDepictionConsistency, matchesAdultJoshPersonalityTraits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageDepictionConsistency Context triple: [David Moscow as young Josh Baskin, ageDepictionConsistency, matchesAdultJoshPersonalityTraits]
-
A.
portraysAgeGroup
Indicates that one entity depicts or represents another entity as belonging to a particular age group.
-
B.
representedAgeLevel
Indicates that one entity corresponds to, or is categorized under, a particular age level or age group.
-
C.
containsAge
Indicates that one entity includes or specifies the age value or age-related information of another entity.
-
D.
existsInAge
Indicates that an entity is present, valid, or active during a specified age or time period.
-
E.
characterAgeDescriptor
Indicates how a character’s age is qualitatively described or categorized (e.g., young, middle-aged, elderly) rather than given as a specific number.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971484aa08190a8adfafabe600903 |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa776648190b9b5c30722ea50b6 |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9713e45a88190acd346f066093550 |
completed | April 10, 2026, 9:53 p.m. |
Created at: April 9, 2026, 5:40 p.m.