Triple
T9758391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mentuhotep II |
E236608
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Tem |
E617530
|
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: Tem | Statement: [Mentuhotep II, spouse, Tem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tem Context triple: [Mentuhotep II, spouse, Tem]
-
A.
Tem
Tem is a Gur language spoken primarily in Togo and neighboring regions of West Africa.
-
B.
Tem
chosen
Tem is an ancient Egyptian creator god, often regarded as a form or aspect of Atum associated with the setting sun and the completion of creation.
-
C.
Ter
The Ter is a river in northeastern Catalonia, Spain, that flows through cities such as Girona before emptying into the Mediterranean Sea.
-
D.
Te
Te is the Taoist concept of inner virtue or inherent power that arises from living in harmony with the Tao.
-
E.
TM
TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda047d0408190b91f7195513da6e8 |
completed | April 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1b035c32c8190ad65f3d57d53a317 |
completed | April 5, 2026, 12:43 a.m. |
Created at: March 30, 2026, 8:24 p.m.