Triple
T26776293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Padre de la Patria Puertorriqueña |
E670127
|
entity |
| Predicate | hasGenderOfHonoree |
P55770
|
FINISHED |
| Object | male |
—
|
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: male | Statement: [Padre de la Patria Puertorriqueña, hasGenderOfHonoree, male]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenderOfHonoree Context triple: [Padre de la Patria Puertorriqueña, hasGenderOfHonoree, male]
-
A.
hasGenderOfPerson
Indicates that a person is associated with a specific gender classification.
-
B.
genderOfEponym
chosen
Indicates the gender of the person after whom something (such as a place, object, or concept) is named.
-
C.
honorificGender
Indicates that a particular honorific or title is associated with a specific gender or gendered form.
-
D.
awardCategoryGender
Indicates that an award category is designated for recipients of a specific gender.
-
E.
hasGenderDistinction
Indicates that a relationship, classification, or linguistic form differentiates entities based on gender categories.
- 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_69eeb31c925881909b597f6e40056d28 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 27, 2026, 4:05 a.m.