Triple
T11984800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Teavee |
E285249
|
entity |
| Predicate | fateInFactory |
P102736
|
FINISHED |
| Object | shrunk to a tiny size |
—
|
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: shrunk to a tiny size | Statement: [Mike Teavee, fateInFactory, shrunk to a tiny size]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fateInFactory Context triple: [Mike Teavee, fateInFactory, shrunk to a tiny size]
-
A.
fate
Indicates that an entity is destined or predetermined to experience a particular outcome or course of events beyond its control.
-
B.
fateInWork
Indicates that an entity’s fate, outcome, or destiny is determined, depicted, or significantly influenced within a particular work (such as a book, film, or other creative piece).
-
C.
fateLocation
Indicates the location where an entity ultimately ends up or meets its final outcome.
-
D.
fateAsBonhommeRichard
Indicates that an entity’s fate or ultimate outcome is the same as that of the ship Bonhomme Richard (e.g., being lost, destroyed, or otherwise meeting a similar end).
-
E.
knowledgeOfFate
Indicates that one entity is aware of or understands the destined or predetermined outcome concerning another entity or event.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903acbb9081908fe7f8360057785c |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902abca70819098291aa51b593708 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d903a8695c8190bfa9d7ca50834f9f |
completed | April 10, 2026, 2:05 p.m. |
Created at: April 8, 2026, 9:46 p.m.