Triple
T5132192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shephatiah |
E115726
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Abital |
E20176
|
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: Abital | Statement: [Shephatiah, mother, Abital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abital Context triple: [Shephatiah, mother, Abital]
-
A.
Abital
chosen
Abital is one of the lesser-known wives of the biblical King David, mentioned in the Hebrew Bible as the mother of his son Shephatiah.
-
B.
Ilala
Ilala is a central administrative district of Dar es Salaam in Tanzania, encompassing key commercial, residential, and transport hubs of the city.
-
C.
Itsa
Itsa is a town in Egypt located within the Faiyum Governorate, known primarily as a local agricultural and administrative center.
-
D.
Quidam
Quidam is a Cirque du Soleil touring production known for its surreal, introspective narrative and innovative blend of acrobatics, music, and visual artistry.
-
E.
Sitra
Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd784b477c8190926daddb28a255af |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4c9a14881908a8bf2f73ebf56f7 |
completed | March 21, 2026, 4:18 p.m. |
Created at: March 20, 2026, 1:42 p.m.