Triple
T30774912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Exploding Girl |
E783634
|
entity |
| Predicate | hasEpilepticProtagonist |
P170118
|
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 Exploding Girl, hasEpilepticProtagonist, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEpilepticProtagonist Context triple: [The Exploding Girl, hasEpilepticProtagonist, true]
-
A.
hasTypicalSeizureType
Indicates that an entity is associated with or characterized by a particular usual or predominant type of seizure.
-
B.
methodOfSeizure
Indicates the manner or technique by which something is taken, captured, or seized.
-
C.
hasBrainCharacteristic
Indicates that an entity possesses a specific feature, quality, or attribute related to the brain.
-
D.
hasEP
Indicates that an entity possesses, is associated with, or is characterized by a specific EP (e.g., an endpoint, event point, or designated EP resource) in the given context.
-
E.
hasProtagonist
Indicates that a work of narrative has a main character who serves as its central focus or driving agent.
- 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_69f224b1519081908b9db003fd2073e0 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68fe016688190b2fe1f6931ee1e48 |
completed | May 2, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68848ad348190a2fb6e841dcfdb7d |
completed | May 2, 2026, 11:27 p.m. |
Created at: April 29, 2026, 8:40 p.m.