Triple
T36401152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Applegate |
E896629
|
entity |
| Predicate | transformsCharacter |
P119384
|
FINISHED |
| Object | Joe Boyd into Joe Hardy |
—
|
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: Joe Boyd into Joe Hardy | Statement: [Mr. Applegate, transformsCharacter, Joe Boyd into Joe Hardy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transformsCharacter Context triple: [Mr. Applegate, transformsCharacter, Joe Boyd into Joe Hardy]
-
A.
transformsCharacterInto
chosen
Indicates that one entity causes or undergoes a change that turns a character into another form, state, or identity.
-
B.
transliteratesCharacter
Indicates that one character is converted into its corresponding representation in another writing system while preserving its phonetic value.
-
C.
transportsCharacter
Indicates that one entity moves or carries a character from one location or state to another.
-
D.
treatsCharacter
Indicates how one character behaves toward or interacts with another character, especially in terms of care, respect, or mistreatment.
-
E.
centralToCharacter
Indicates that something is a core, defining, or highly influential element in shaping a character’s identity, motivations, or development.
- 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff878f41888190bcb3bc41ad26081a |
completed | May 9, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69ff854082d88190aad3bfedf05e849f |
completed | May 9, 2026, 7:04 p.m. |
Created at: May 3, 2026, 4:10 p.m.