Triple
T14751785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danny Pino as Miguel Galindo |
E346625
|
entity |
| Predicate | hasFamilyRoleInSeries |
P38221
|
FINISHED |
| Object | head of the Galindo family |
—
|
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: head of the Galindo family | Statement: [Danny Pino as Miguel Galindo, hasFamilyRoleInSeries, head of the Galindo family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFamilyRoleInSeries Context triple: [Danny Pino as Miguel Galindo, hasFamilyRoleInSeries, head of the Galindo family]
-
A.
hasFamilyRole
chosen
Indicates that one entity holds a specific familial role or position in relation to another entity.
-
B.
familyOrSeries
Indicates that two entities belong to the same family, collection, or series as related parts of a larger grouped set.
-
C.
narrativeRoleInSeries
Indicates the specific narrative function or role an entity plays within a particular series or serialized work.
-
D.
memberOfTelevisionShowCast
Indicates that a person is a member of the cast of a particular television show.
-
E.
hasFictionalFamily
Indicates that an entity is associated with a family that exists only within a fictional or imaginary context.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d40efc8190bb1be34c19a2b57c |
completed | April 14, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.