Triple
T9617134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anton Ego |
E232245
|
entity |
| Predicate | hasTransformation |
P89273
|
FINISHED |
| Object | rediscovers joy of food through Remy’s cooking |
—
|
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: rediscovers joy of food through Remy’s cooking | Statement: [Anton Ego, hasTransformation, rediscovers joy of food through Remy’s cooking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransformation Context triple: [Anton Ego, hasTransformation, rediscovers joy of food through Remy’s cooking]
-
A.
hasTransformationType
Indicates that an entity undergoes or is associated with a specific kind or category of transformation.
-
B.
hasBodyTransformationArc
Indicates a narrative relationship where an entity undergoes a significant physical or bodily change over the course of a story or timeline.
-
C.
transformedDuring
Indicates that an entity undergoes a change in form, state, or structure within the duration of a specified event or process.
-
D.
hasAgeTransformation
Indicates a relationship where an entity undergoes or causes a change in age or age-related state.
-
E.
transformedWith
Indicates that one entity has been changed, altered, or converted into a different state, form, or representation through the use or application of another specified entity (such as a tool, method, or process).
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aaf3a088190a00a7750c25b6c42 |
completed | April 1, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69ccd5aa1d2c8190a287bf1cf4a3037e |
completed | April 1, 2026, 8:22 a.m. |
| PDg | Predicate description generation | batch_69ccd93fc45c8190a823305e461e581d |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:09 p.m.