Triple
T31575714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shehecheyanu blessing |
E805691
|
entity |
| Predicate | recitationGender |
P119314
|
FINISHED |
| Object | recited by men |
—
|
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: recited by men | Statement: [Shehecheyanu blessing, recitationGender, recited by men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recitationGender Context triple: [Shehecheyanu blessing, recitationGender, recited by men]
-
A.
genderSpecificity
chosen
Indicates whether the relationship or action applies specifically to a particular gender or is gender-neutral.
-
B.
bearerGender
Indicates the gender associated with the bearer in the relationship or context.
-
C.
genderConfiguration
Indicates how the genders of the involved entities are arranged or combined within a particular relationship or context.
-
D.
playsGender
Indicates that one entity performs or assumes a particular gender role or identity in a given context.
-
E.
genderOfPersona
Indicates the gender identity associated with a given persona.
- 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_69f348d3a86c8190a3e5e539a4dd125f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a8055f8081908f635fe04654b5fe |
completed | May 3, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:21 p.m.