Triple
T11597194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pebbles and Bamm-Bamm Show |
E275034
|
entity |
| Predicate | mainCharactersAge |
P37051
|
FINISHED |
| Object | teenagers |
—
|
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: teenagers | Statement: [The Pebbles and Bamm-Bamm Show, mainCharactersAge, teenagers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCharactersAge Context triple: [The Pebbles and Bamm-Bamm Show, mainCharactersAge, teenagers]
-
A.
mainCharactersAre
Indicates that the specified entities serve as the primary or central characters in a narrative or work.
-
B.
protagonistAge
chosen
Indicates the age of the main character or central figure in a narrative or scenario.
-
C.
portrayedByCharacterAgeApprox
Indicates that an entity is portrayed by a character whose age is approximately a specified value or 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.
numberOfAges
Indicates the count of distinct ages associated with an entity or within a specified group or 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89549c870819086e16e9110bbad87 |
completed | April 10, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_69d85dd20d188190863d1190d4c16048 |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.