Triple
T2964107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israel |
E80119
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Gad |
E64669
|
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: Gad | Statement: [Israel, hasChild, Gad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gad Context triple: [Israel, hasChild, Gad]
-
A.
Gad
chosen
Gad is a biblical figure, one of the twelve sons of Jacob and the founder of the Israelite tribe that bears his name.
-
B.
Gan
Gan is a common abbreviated name and historical-cultural designation for Jiangxi Province in southeastern China.
-
C.
Genn
Genn is a surname most notably associated with British actor and barrister Leo Genn.
-
D.
Avgad
Avgad is a variant form or textual tradition associated with the Jewish mystical work Temurah.
-
E.
Guna
Guna is a city in the central Indian state of Madhya Pradesh known as an important regional administrative and commercial center.
- 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9958b1e48190a77f37bf63333c5b |
completed | March 8, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc98d94481908282d21394dc24a7 |
completed | March 11, 2026, 5:24 a.m. |
Created at: March 8, 2026, 2:58 p.m.