Triple
T26135400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poison Flute |
E659364
|
entity |
| Predicate | titleMeaningOf |
P4542
|
FINISHED |
| Object | Bisher Bashi |
—
|
NE NERFINISHED |
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: Bisher Bashi | Statement: [Poison Flute, titleMeaningOf, Bisher Bashi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleMeaningOf Context triple: [Poison Flute, titleMeaningOf, Bisher Bashi]
-
A.
titleMeaning
chosen
Indicates that one entity expresses or explains the meaning, significance, or interpretation of another entity’s title.
-
B.
objectMeaning
Indicates that one entity represents, expresses, or conveys the meaning or semantic content of another entity.
-
C.
lettersMeaning
Indicates that a set of letters or characters represents, signifies, or conveys a particular meaning or message.
-
D.
titleLanguageMeaning
Indicates that a title is expressed in a particular language and conveys a specific meaning in that language.
-
E.
ermenMeaning
Indicates that one entity represents or conveys the meaning or semantic interpretation of another entity.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 26, 2026, 8:17 p.m.