Triple
T7592920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyades nymphs |
E179782
|
entity |
| Predicate | namedMember |
P78037
|
FINISHED |
| Object | Eudora |
E253167
|
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: Eudora | Statement: [Hyades nymphs, namedMember, Eudora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eudora Context triple: [Hyades nymphs, namedMember, Eudora]
-
A.
Eudora
chosen
Eudora is a figure from Greek mythology known as one of the daughters of the Titan Atlas.
-
B.
Rimrock
Rimrock is a small unincorporated community in central Arizona that includes lands of the Yavapai-Apache Nation and serves as a residential and cultural area in the Verde Valley region.
-
C.
Salina
Salina is a volcanic island in Italy's Aeolian archipelago, known for its lush landscapes, twin extinct volcanoes, and production of Malvasia wine.
-
D.
Lacoma
Lacoma is a Madrid Metro station on the city's Line 7 serving the Lacoma neighborhood in the Fuencarral-El Pardo district.
-
E.
Verna
Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c701731a288190b53ffc546a2f47d7 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86197fe0881908307a411cabdca7f |
completed | March 28, 2026, 11:17 p.m. |
Created at: March 27, 2026, 3:53 p.m.