Triple
T38230882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Brass Bottle |
E1012285
|
entity |
| Predicate | hasMischievousGenieCharacter |
P194929
|
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 Brass Bottle, hasMischievousGenieCharacter, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMischievousGenieCharacter Context triple: [The Brass Bottle, hasMischievousGenieCharacter, true]
-
A.
hasMischievousProtagonist
Indicates that the work’s main character habitually engages in playful, naughty, or rule-breaking behavior.
-
B.
hasEnigmaticCharacter
Indicates that something possesses a mysterious, puzzling, or difficult-to-interpret quality or nature.
-
C.
hasFairyCharacters
Indicates that the subject includes or features characters that are fairies.
-
D.
hasMermaidCharacter
Indicates that an entity includes, features, or is associated with a character who is a mermaid.
-
E.
hasGhostCharacter
Indicates that an entity includes, features, or is associated with a character that is a ghost.
- 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
| PDg | Predicate description generation | batch_69fd8e5e9ca48190890a2caddc1f9f5c |
completed | May 8, 2026, 7:18 a.m. |
Created at: May 3, 2026, 4:30 p.m.