Triple
T7011085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Eilenberg |
E162580
|
entity |
| Predicate | coAuthor |
P398
|
FINISHED |
| Object | Shelah |
E512976
|
NE 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: Shelah | Statement: [Samuel Eilenberg, coAuthor, Shelah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shelah Context triple: [Samuel Eilenberg, coAuthor, Shelah]
-
A.
Shelah
Shelah is a minor biblical figure mentioned in the Book of Genesis as one of the sons in the family line of Judah.
-
B.
Saharon Shelah
chosen
Saharon Shelah is an Israeli mathematician renowned for his groundbreaking work in mathematical logic and set theory, particularly model theory and cardinal arithmetic.
-
C.
Morawka
Morawka is a river in southwestern Poland that serves as a tributary of the Nysa Kłodzka.
-
D.
Yakir
Yakir is a masculine given name of Hebrew origin, commonly used in Israel and among Jewish communities.
-
E.
Nahman Avigad
Nahman Avigad was a prominent Israeli archaeologist known for his excavations in Jerusalem’s Jewish Quarter and major contributions to the study of Second Temple period remains.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc5729448190af66dbd6f3e8936e |
completed | March 27, 2026, 7:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a4bd424819097e1543ec59979ff |
completed | March 28, 2026, 5:42 a.m. |
Created at: March 27, 2026, 2:34 p.m.