Triple
T29614763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pa Paandi |
E754828
|
entity |
| Predicate | hasAgeingProtagonist |
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: [Pa Paandi, hasAgeingProtagonist, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAgeingProtagonist Context triple: [Pa Paandi, hasAgeingProtagonist, true]
-
A.
protagonistAge
Indicates the age of the main character or central figure in a narrative or scenario.
-
B.
hasProtagonistAgeRange
Indicates that a work’s main character falls within a specified age range.
-
C.
hasChildProtagonist
Indicates that the work features a child as its main or central character.
-
D.
hasProtagonist
Indicates that a work of narrative has a main character who serves as its central focus or driving agent.
-
E.
mayBeAgedIn
Indicates that an entity has the potential or option to undergo an aging or maturation process in a specified medium, container, or environment.
- 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_69f0ef85f62081909842b59fdf8717e1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66e1fd06081909b920f2dae3bfd37 |
completed | May 2, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 6:30 p.m.