Triple
T29766060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Body Lovers |
E753910
|
entity |
| Predicate | creatorOfMainCharacter |
P195082
|
FINISHED |
| Object | Mickey Spillane |
—
|
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: Mickey Spillane | Statement: [The Body Lovers, creatorOfMainCharacter, Mickey Spillane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorOfMainCharacter Context triple: [The Body Lovers, creatorOfMainCharacter, Mickey Spillane]
-
A.
creatorOfCharacter
Indicates that one entity is the originator or author who created or conceived the other entity as a character.
-
B.
creatorInStory
Indicates that one entity is the creator (e.g., author, originator, or maker) of another entity within the context of a specific story or narrative.
-
C.
creatorInComics
Indicates that one entity is the creator (such as writer or artist) responsible for the content or characters appearing in a particular comic work or series.
-
D.
creatorOfAdaptationCharacterIn
Indicates that a person is the creator of a character that appears in a particular adaptation of a work.
-
E.
fictionalCharacterFrom
Indicates that a fictional character originates from, or is created within, a particular work, universe, or source.
- 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_69f0ef827ff88190ade56e0b0846b713 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
| PDg | Predicate description generation | batch_69fda4fe67a08190bdaa84ceabd6de6c |
completed | May 8, 2026, 8:55 a.m. |
Created at: April 28, 2026, 8:38 p.m.