Triple
T23923515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | אברהם אבן עזרא |
E602282
|
entity |
| Predicate | שם מלא |
P16
|
FINISHED |
| Object | רבי אברהם בן מאיר אבן עזרא |
—
|
NE NERFINISHED |
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: רבי אברהם בן מאיר אבן עזרא | Statement: [אברהם אבן עזרא, שם מלא, רבי אברהם בן מאיר אבן עזרא]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: שם מלא Context triple: [אברהם אבן עזרא, שם מלא, רבי אברהם בן מאיר אבן עזרא]
-
A.
namesakeFullName
Indicates that one entity’s full name is used as the namesake or source of the name for another entity.
-
B.
fullName
chosen
Indicates that an entity has a complete personal name, typically combining given name(s) and family name into a single string.
-
C.
realName
Indicates that one entity is the actual, full, or birth name of another entity, which may be known by an alias, nickname, or alternate identity.
-
D.
givenName
Indicates the personal first name assigned to an individual.
-
E.
hasNameInHebrew
Indicates that an entity is associated with a specific name expressed in the Hebrew language.
- 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_69e2953b928c819095395fa87baca583 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cf1abd148190a8393418ed965019 |
completed | April 29, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:41 p.m.