Triple
T15849827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dathan |
E384304
|
entity |
| Predicate | allyOf |
P4662
|
FINISHED |
| Object | Abiram |
E384305
|
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: Abiram | Statement: [Dathan, allyOf, Abiram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abiram Context triple: [Dathan, allyOf, Abiram]
-
A.
Abiram
chosen
Abiram is a biblical figure known as one of the leaders who rebelled against Moses and Aaron during the Israelites’ wilderness journey.
-
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.
Giora
Giora is a masculine given name of Hebrew origin, commonly used in Israel and among Jewish communities.
-
D.
Abial
Abial is a given name that appears as the middle name of the American mycologist Robert Abial Rolfe.
-
E.
Yigal
Yigal is a Hebrew given name commonly used for males, notably borne by several Israeli public figures.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14cab0fe48190bd6629e071761e91 |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa145f2dc819092db805806b6e1d5 |
completed | May 9, 2026, 9:04 p.m. |
Created at: April 10, 2026, 4:50 a.m.