Triple
T36417264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Corpse Danced at Midnight |
E897044
|
entity |
| Predicate | hasFictionalAuthorOccupation |
P201711
|
FINISHED |
| Object | amateur sleuth |
—
|
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: amateur sleuth | Statement: [The Corpse Danced at Midnight, hasFictionalAuthorOccupation, amateur sleuth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalAuthorOccupation Context triple: [The Corpse Danced at Midnight, hasFictionalAuthorOccupation, amateur sleuth]
-
A.
hasFictionalAuthor
Indicates that one entity is the fictional or in-universe author of a work attributed to them.
-
B.
hasFictionalAutobiographer
Indicates that an entity is associated with a fictional character who serves as its autobiographical narrator or self-describing author within a narrative.
-
C.
hasFictionalWork
Indicates that one entity is the creator, owner, or source of a fictional work associated with another entity.
-
D.
worksWithFictionalCharacter
Indicates that one entity collaborates or interacts in a work-related context with another entity that is a fictional character.
-
E.
hasAuthorOccupationOfAuthor
Indicates that an author has a specific occupation or professional role.
- 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_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0017dd31d08190aa5e9f72df83733a |
completed | May 10, 2026, 5:30 a.m. |
| PD | Predicate disambiguation | batch_6a0015a1deb88190b9cdaa60455b0a33 |
completed | May 10, 2026, 5:20 a.m. |
| PDg | Predicate description generation | batch_6a0017dc2cd48190a89c3e9c71708519 |
completed | May 10, 2026, 5:30 a.m. |
Created at: May 3, 2026, 4:10 p.m.