Triple
T2679740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Set |
E56545
|
entity |
| Predicate | possibleSpouse |
P33561
|
FINISHED |
| Object | Anat |
E81881
|
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: Anat | Statement: [Set, possibleSpouse, Anat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anat Context triple: [Set, possibleSpouse, Anat]
-
A.
Anat
chosen
Anat is a prominent Canaanite war and fertility goddess known for her fierce martial prowess and protective role in the ancient Levantine pantheon.
-
B.
Atoni
Atoni are an indigenous ethnic group of western Timor known for their traditional hierarchical social structure, distinctive architecture, and dryland farming culture.
-
C.
Anif
Anif is a small Austrian municipality near Salzburg, known for its historic castle and as a residence of notable figures.
-
D.
Ara
Ara is a historic city in the Indian state of Bihar, known for its role in the Indian independence movement and as the center of Bhojpur district.
-
E.
Awni
Awni is a masculine given name of Arabic origin, commonly used in the Middle East.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9d36ea8819094ada73d86ffaa8b |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa0681f3c8190898e58f3138b16fa |
completed | March 10, 2026, 4:39 a.m. |
Created at: March 6, 2026, 9:54 p.m.