Triple
T24944107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Baby-Faced Assassin |
E624138
|
entity |
| Predicate | hasNationalityOfBearer |
P25217
|
FINISHED |
| Object | Mexican |
—
|
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: Mexican | Statement: [The Baby-Faced Assassin, hasNationalityOfBearer, Mexican]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNationalityOfBearer Context triple: [The Baby-Faced Assassin, hasNationalityOfBearer, Mexican]
-
A.
bearerNationality
chosen
Indicates that one entity is the country or nationality associated with the bearer of another entity, such as a document or credential.
-
B.
notableBearerNationality
Indicates that the subject has a notable bearer whose nationality is the specified object.
-
C.
nationalityInCoverIdentity
Indicates that an entity’s assumed or cover identity is associated with a particular nationality.
-
D.
isCitizenOf
Indicates that a person holds legal nationality or citizenship status in a particular country or state.
-
E.
associatedWithNotableBearerNationality
Indicates that an entity is connected to the nationality of a notable bearer of a related name or title.
- 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_69f60c3b09488190ade1b69ff7f0df0e |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 18, 2026, 5:53 a.m.