Triple
T10529680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ligeia |
E248403
|
entity |
| Predicate | category |
P87
|
FINISHED |
| Object | MythologicalSeaCreatures |
E228958
|
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: MythologicalSeaCreatures | Statement: [Ligeia, category, MythologicalSeaCreatures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MythologicalSeaCreatures Context triple: [Ligeia, category, MythologicalSeaCreatures]
-
A.
sea monster Cetus
The sea monster Cetus is a fearsome creature from Greek mythology that was sent to devour Andromeda and was ultimately slain by the hero Perseus.
-
B.
Mermaids
Mermaids is a 1990 coming-of-age comedy-drama film starring Cher, Winona Ryder, and Bob Hoskins, centered on an eccentric single mother and her daughters in 1960s New England.
-
C.
Nereids
chosen
The Nereids are sea nymphs from Greek mythology, often depicted as beautiful maidens who accompany Poseidon and personify various aspects of the Mediterranean Sea.
-
D.
Swan-maidens
Swan-maidens are mythical women in folklore who can transform between human and swan form, often by donning or removing a magical feathered garment.
-
E.
Creatures
Creatures is a Japanese video game and entertainment company best known for its major role in developing and managing the Pokémon franchise, including games, trading cards, and related media.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f7d8ac8190b90c1a7f77b23545 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e3caf4c8190b19199f1a68a00de |
completed | April 10, 2026, 2:50 p.m. |
Created at: April 6, 2026, 12:30 p.m.