Triple
T38176117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben 10: Alien Force |
E1000218
|
entity |
| Predicate | starsCharacterAge |
P94896
|
FINISHED |
| Object | teenage Ben Tennyson |
—
|
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: teenage Ben Tennyson | Statement: [Ben 10: Alien Force, starsCharacterAge, teenage Ben Tennyson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starsCharacterAge Context triple: [Ben 10: Alien Force, starsCharacterAge, teenage Ben Tennyson]
-
A.
characterAgeDescriptor
chosen
Indicates how a character’s age is qualitatively described or categorized (e.g., young, middle-aged, elderly) rather than given as a specific number.
-
B.
portrayedByCharacterAgeApprox
Indicates that an entity is portrayed by a character whose age is approximately a specified value or age range.
-
C.
hasProtagonistAgeRange
Indicates that a work’s main character falls within a specified age range.
-
D.
ageInSeries
Indicates the age of an entity as it appears or is depicted within a specific series or installment of a work.
-
E.
portrayalAge
Indicates the age or life stage at which an entity is depicted or represented in a given context.
- 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_69f76daaace48190a38cee37f8ce343f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:29 p.m.