Triple
T31189193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ma Nishtana |
E795135
|
entity |
| Predicate | typicalReciter |
P3327
|
FINISHED |
| Object | youngest participant at the Seder |
—
|
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: youngest participant at the Seder | Statement: [Ma Nishtana, typicalReciter, youngest participant at the Seder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalReciter Context triple: [Ma Nishtana, typicalReciter, youngest participant at the Seder]
-
A.
canonicalReciterOf
Indicates that one entity is recognized as the standard or authoritative reciter or performer of another entity (such as a text, work, or composition).
-
B.
typicalSpeakersAre
Indicates that the entities specified are the kinds of speakers who typically use or produce the expression or language in question.
-
C.
typicalSpeaker
chosen
Indicates that the subject is a prototypical or characteristic speaker or source of utterances in the context of the object.
-
D.
isOftenRecitedFor
Indicates that something (such as a text, phrase, or piece of music) is frequently spoken, chanted, or performed for a particular purpose, audience, or occasion.
-
E.
narratorType
Indicates the narrative perspective or role from which a story or account is being told.
- 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_69f224d7a6a481908187c4362a8a525f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 9:08 p.m.