Triple
T36407824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Young Girl and the Monsoon |
E896794
|
entity |
| Predicate | hasTeenageProtagonist |
P197497
|
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: [The Young Girl and the Monsoon, hasTeenageProtagonist, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTeenageProtagonist Context triple: [The Young Girl and the Monsoon, hasTeenageProtagonist, true]
-
A.
hasChildProtagonist
Indicates that the work features a child as its main or central character.
-
B.
hasMischievousProtagonist
Indicates that the work’s main character habitually engages in playful, naughty, or rule-breaking behavior.
-
C.
hasHumanProtagonists
Indicates that the primary characters driving the narrative are human beings rather than non-human entities.
-
D.
hasMaleProtagonist
Indicates that the primary main character in the work is male.
-
E.
parentOfProtagonistOf
Indicates that one entity is the parent of the main character (protagonist) of another 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe96c2647c819082989f11e1ae3d35 |
completed | May 9, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69fe928615448190af939e5a94be55bb |
completed | May 9, 2026, 1:48 a.m. |
| PDg | Predicate description generation | batch_69fe96c0b760819093737292d33df165 |
completed | May 9, 2026, 2:06 a.m. |
Created at: May 3, 2026, 4:10 p.m.