Triple
T11094035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bride |
E262327
|
entity |
| Predicate | hasWriterReputationFor |
P87297
|
FINISHED |
| Object | dark, character-driven genre stories |
—
|
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: dark, character-driven genre stories | Statement: [The Bride, hasWriterReputationFor, dark, character-driven genre stories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWriterReputationFor Context triple: [The Bride, hasWriterReputationFor, dark, character-driven genre stories]
-
A.
hasReputationAmong
Indicates that an entity is regarded or perceived in a particular way by a specified group or audience.
-
B.
hasNotableReputation
Indicates that an entity is widely recognized or distinguished for a particular quality, achievement, or characteristic.
-
C.
hasProfessionalReputationFor
chosen
Indicates that an entity is recognized by others as being notably associated with a particular professional quality, skill, or behavior.
-
D.
haveReputation
Indicates that an entity is recognized or regarded in a certain way by others, reflecting its perceived character, quality, or status.
-
E.
hasQuirkyReputation
Indicates that an entity is regarded by others as having an unusual, eccentric, or unconventional character or style.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799ed12d88190a4ad8c346d68f11f |
completed | April 9, 2026, 12:22 p.m. |
| PD | Predicate disambiguation | batch_69d744185a5881909ba4cf151d1798ec |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.