Triple
T13387692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Daughters of Eve |
E319485
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Mona |
E323562
|
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: Mona | Statement: [Three Daughters of Eve, character, Mona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mona Context triple: [Three Daughters of Eve, character, Mona]
-
A.
Mona
chosen
Mona is a feminine given name used in various cultures, often as a standalone name or a diminutive of names like Ramona or Simona.
-
B.
Mona
Mona is a residential and academic community in the Parish of St. Andrew, Jamaica, best known as the main campus location of the University of the West Indies.
-
C.
MONA
MONA is a renowned private art museum in Hobart, Tasmania, known for its provocative contemporary and ancient art collections and unconventional, immersive visitor experience.
-
D.
Monnina
Monnina is a genus of flowering plants in the milkwort family, known for its diverse species native primarily to the Americas.
-
E.
Moraima
Moraima was the wife of Boabdil, the last Nasrid ruler of the Emirate of Granada in late medieval Spain.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d3a40081909ba49556130ad0e7 |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72691c8d08190b971d7e914863cc1 |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:34 p.m.