Triple
T2887799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geb |
E59547
|
entity |
| Predicate | consort |
P13
|
FINISHED |
| Object | Nut |
E56546
|
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: Nut | Statement: [Geb, consort, Nut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nut Context triple: [Geb, consort, Nut]
-
A.
Nut
chosen
Nut is the ancient Egyptian sky goddess, often depicted arching over the earth and associated with the heavens, stars, and the cyclical rebirth of the sun.
-
B.
Ng
Ng is a common Chinese surname found across various Chinese-speaking communities and the diaspora, often representing the Cantonese or Hokkien romanization of the character 吳 (Wu).
-
C.
nan
nan is the ISO 639-3 language code assigned to the Teochew (Chaoshan) Chinese language variety spoken primarily in eastern Guangdong, China, and among overseas Chinese communities.
-
D.
NU
NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
-
E.
NU
NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe047aa7c8190a0ed570c13f3a1a2 |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b055f2d72c8190b81b2b0b3093ae57 |
completed | March 10, 2026, 5:33 p.m. |
Created at: March 6, 2026, 10:03 p.m.