Triple
T19336278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reunion (1989 film) |
E483631
|
entity |
| Predicate | hasAdultNarratorVersionOfCharacter |
P135468
|
FINISHED |
| Object | Hans Schwarz |
—
|
NE NERFINISHED |
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: Hans Schwarz | Statement: [Reunion (1989 film), hasAdultNarratorVersionOfCharacter, Hans Schwarz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdultNarratorVersionOfCharacter Context triple: [Reunion (1989 film), hasAdultNarratorVersionOfCharacter, Hans Schwarz]
-
A.
isAdultCharacter
Indicates that a character has reached adulthood, typically meeting the age or maturity criteria defining an adult within the given context.
-
B.
portrayedAsAdultBy
Indicates that one entity is depicted or represented as an adult by another entity (such as an artist, author, or creator).
-
C.
narratedByCharacters
Indicates that the events or content of a work are told or recounted by specific characters within that work.
-
D.
hasVoiceActing
Indicates that one entity provides voice performance for a character, role, or work associated with another entity.
-
E.
spokenBy
Indicates that a particular utterance, statement, or piece of speech is produced or said by a specific 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61645c0dc8190b64e15c735bcb9f4 |
completed | April 20, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69e4df51ac6c819091ce72b07790ffa6 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:33 p.m.