Triple
T7658650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merle Dixon |
E173447
|
entity |
| Predicate | turnedInto |
P65473
|
FINISHED |
| Object | walker |
—
|
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: walker | Statement: [Merle Dixon, turnedInto, walker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: turnedInto Context triple: [Merle Dixon, turnedInto, walker]
-
A.
bodyTransformedInto
chosen
Indicates that one entity’s physical form is changed or converted into another specified form or entity.
-
B.
turnedToStone
Indicates that an entity has been transformed into stone, typically as a result of some magical or supernatural effect.
-
C.
turnedIntoWerewolfBy
Indicates that one entity was transformed into a werewolf as a result of the actions or influence of another entity.
-
D.
turnedPro
Indicates that an individual transitioned from amateur status to professional status in a particular field or activity.
-
E.
became
Indicates a change of state or status in which one entity transitions into or assumes the role, condition, or identity of another.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7061cbc3c8190a917dd7e71214182 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015dd8fc8190bc5f52a12bd46209 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 3:59 p.m.