Triple
T13000017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ezra |
E322143
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Nehemiah |
E81803
|
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: Nehemiah | Statement: [Ezra, collaboratedWith, Nehemiah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nehemiah Context triple: [Ezra, collaboratedWith, Nehemiah]
-
A.
Nehemiah
chosen
Nehemiah is a biblical figure known for leading the rebuilding of Jerusalem’s walls and instituting religious and social reforms among the returned exiles.
-
B.
Ezra
Ezra is a prominent Jewish scribe and priest traditionally credited with leading religious reforms and restoring the Torah’s authority among the Israelites after the Babylonian exile.
-
C.
Ezra–Nehemiah
Ezra–Nehemiah is a biblical work that narrates the return of the Jewish exiles from Babylon, the rebuilding of the Jerusalem temple and walls, and the community’s religious and social reforms.
-
D.
Zerubbabel
Zerubbabel was a Jewish leader and governor of Judah under Persian rule who oversaw the rebuilding of the Second Temple in Jerusalem after the Babylonian exile.
-
E.
Alfred Nehemias
Alfred Nehemias was a co-founder of the luxury writing instrument and accessories brand Montblanc.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7b268c8190b8bb855e9de23c3b |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c101ea60819098e4d5fb3a9e803a |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:46 p.m.