Triple
T19723132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shabbetai Tzvi |
E473658
|
entity |
| Predicate | followers |
P11024
|
FINISHED |
| Object | large segments of the Jewish diaspora |
—
|
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: large segments of the Jewish diaspora | Statement: [Shabbetai Tzvi, followers, large segments of the Jewish diaspora]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followers Context triple: [Shabbetai Tzvi, followers, large segments of the Jewish diaspora]
-
A.
followerOf
Indicates that one entity subscribes to, tracks, or regularly receives updates from another entity, typically in a social or informational context.
-
B.
layFollowers
chosen
Indicates that one entity is a non-ordained (lay) follower or adherent of another entity, typically a religious figure, institution, or tradition.
-
C.
follows
Indicates that one entity comes after, moves behind, or acts in accordance with another entity in time, space, or sequence.
-
D.
followersCalled
Indicates that one entity refers to or addresses its followers by a specific name or term.
-
E.
followerEvent
Indicates that one entity begins or performs the action of following another entity, typically recorded as a discrete event in time.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f64984819097882c44098b1643 |
completed | April 20, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69e5304a7aac8190ac13f75f0c008e45 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:46 p.m.