Triple
T8500356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minerva Urecal |
E201199
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Minerva Urecal |
E201199
|
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: Minerva Urecal | Statement: [Minerva Urecal, name, Minerva Urecal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minerva Urecal Context triple: [Minerva Urecal, name, Minerva Urecal]
-
A.
Minerva Urecal
chosen
Minerva Urecal was an American character actress known for her numerous supporting roles in film and television from the 1930s through the 1960s.
-
B.
Braun-Pivet
Braun-Pivet is the surname of Yaël Braun-Pivet, a prominent French politician who has served as President of the National Assembly.
-
C.
MINERVA
MINERVA is a small hopping rover deployed by Japan’s Hayabusa spacecraft to explore the surface of asteroid Itokawa.
-
D.
Founex
Founex is a small Swiss municipality on Lake Geneva in the canton of Vaud, known for its residential character and proximity to Geneva.
-
E.
Sceptre
Sceptre is a literary imprint known for publishing high-quality contemporary fiction and non-fiction, often with a focus on distinctive, award-winning voices.
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5996ce88190956cb3f8d9ad3daf |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e14c3d081908e98d5d7ad74716d |
completed | April 2, 2026, 11:08 a.m. |
Created at: March 30, 2026, 6:14 p.m.