Triple
T29683620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elementary |
E751022
|
entity |
| Predicate | characterVersionOf |
P66482
|
FINISHED |
| Object | Sherlock Holmes (literary character) |
—
|
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: Sherlock Holmes (literary character) | Statement: [Elementary, characterVersionOf, Sherlock Holmes (literary character)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterVersionOf Context triple: [Elementary, characterVersionOf, Sherlock Holmes (literary character)]
-
A.
filmCharacterVersionOf
chosen
Indicates that one character is a specific film adaptation or portrayal of another character originating from a different version or medium.
-
B.
formerCharacter
Indicates that an entity was once a character in a work or series but is no longer an active or current character.
-
C.
characterBasedOn
Indicates that one character is modeled, inspired, or derived from another real or fictional entity.
-
D.
character2
Indicates that a second character entity is involved in the relationship or context defined by the predicate.
-
E.
characterRepresentation
Indicates a relationship where one entity serves as the symbolic, visual, or conceptual depiction of another entity’s character or identity.
- 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd7fdafbe881908a31fcb407af2c34 |
completed | May 8, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69fd7ef0ea908190b5d83f71565bdb1c |
completed | May 8, 2026, 6:13 a.m. |
Created at: April 28, 2026, 7:12 p.m.