Triple
T14897709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zerach Warhaftig |
E359920
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Zerach |
E359920
|
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: Zerach | Statement: [Zerach Warhaftig, givenName, Zerach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zerach Context triple: [Zerach Warhaftig, givenName, Zerach]
-
A.
Zerach
chosen
Zerach is a masculine given name of Hebrew origin, borne by several notable Jewish figures including rabbis, politicians, and scholars.
-
B.
Zimran
Zimran is a lesser-known biblical figure mentioned in the Hebrew Bible as one of Abraham's sons by his wife Keturah.
-
C.
Zimroel
Zimroel is a major fictional continent in Robert Silverberg’s Majipoor series, serving as one of the key regions in the planetary setting of the novels.
-
D.
Yair
Yair is a masculine given name of Hebrew origin, commonly used in Israel and among Jewish communities worldwide.
-
E.
Zachi
Zachi is a character in Montesquieu's epistolary novel "Persian Letters," which satirically explores French society and culture through the correspondence of Persian travelers.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded6084574819098033a9723f3e1c4 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e83418081908280a9ed8ddb9fd7 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:11 a.m.