Triple
T24944112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Baby-Faced Assassin |
E624138
|
entity |
| Predicate | bearerWeightClass |
P8068
|
FINISHED |
| Object | super bantamweight |
—
|
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: super bantamweight | Statement: [The Baby-Faced Assassin, bearerWeightClass, super bantamweight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bearerWeightClass Context triple: [The Baby-Faced Assassin, bearerWeightClass, super bantamweight]
-
A.
weightClass
chosen
Indicates the categorical grouping of an entity based on its weight range or mass classification.
-
B.
launchWeightClass
Indicates the weight category or class into which a launch (typically of a vehicle, payload, or mission) is classified based on its mass.
-
C.
weightClassAlternativeName
Indicates that one weight class is referred to by an alternative name or label.
-
D.
intendedUserWeightClass
Indicates the weight category or range for which a user is specifically targeted or intended.
-
E.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
- 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_69e2ff22e4c48190a0444b5a044f14e8 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f423dd366081908c3cf86c20c7ec5f |
completed | May 1, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:53 a.m.