Triple
T16843169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kane and Abel |
E409463
|
entity |
| Predicate | followsLifeSpanOfCharacters |
P125071
|
FINISHED |
| Object | from birth to late adulthood |
—
|
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: from birth to late adulthood | Statement: [Kane and Abel, followsLifeSpanOfCharacters, from birth to late adulthood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsLifeSpanOfCharacters Context triple: [Kane and Abel, followsLifeSpanOfCharacters, from birth to late adulthood]
-
A.
followsCharacterInLifeStage
Indicates that one entity chronologically succeeds or comes after another entity within a specific stage or period of life.
-
B.
followsCharactersFrom
Indicates that one entity continues or tracks the narrative, actions, or developments involving specific characters from another entity.
-
C.
followsCharacterCreatedBy
Indicates that one character’s actions, story, or development occurs after and in relation to another character that was originally created by someone else.
-
D.
followsLifeOf
Indicates that one entity’s narrative, development, or progression is tracked or depicted over the course of that entity’s life.
-
E.
longRunningCharacter
Indicates that a character persists or appears over a long duration, such as across many episodes, issues, or installments in a series.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b35284588190a1d6238438f3e70d |
completed | April 18, 2026, 4:37 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e34fb7c8c8819086975b7955b7d8ef |
completed | April 18, 2026, 9:32 a.m. |
Created at: April 10, 2026, 5:24 a.m.