Triple
T31113942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | As Time Goes By |
E793029
|
entity |
| Predicate | featuresAgeingProtagonists |
P167508
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [As Time Goes By, featuresAgeingProtagonists, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresAgeingProtagonists Context triple: [As Time Goes By, featuresAgeingProtagonists, true]
-
A.
hasAgeingProtagonist
chosen
Indicates that the work features a main character who is experiencing aging or the later stages of life as a central aspect of their role or development.
-
B.
protagonistAge
Indicates the age of the main character or central figure in a narrative or scenario.
-
C.
agingCharacter
Indicates that a character is undergoing the process of growing older or experiencing age-related change over time.
-
D.
hasHumanProtagonists
Indicates that the primary characters driving the narrative are human beings rather than non-human entities.
-
E.
featuresProtagonistOccupation
Indicates that the work’s main character has a specified occupation or job role.
- 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_69f224d0a7688190af3fe3e6e26d01ed |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00512437d48190ad20324968ead5f4 |
completed | May 10, 2026, 9:34 a.m. |
| PD | Predicate disambiguation | batch_6a0050227350819099f41369c3d168be |
completed | May 10, 2026, 9:30 a.m. |
Created at: April 29, 2026, 9:04 p.m.