Triple
T870181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odysseus |
E18791
|
entity |
| Predicate | lover |
P7325
|
FINISHED |
| Object | Calypso |
E6633
|
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: Calypso | Statement: [Odysseus, lover, Calypso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calypso Context triple: [Odysseus, lover, Calypso]
-
A.
Calypso
chosen
Calypso is a nymph from Greek mythology best known for detaining the hero Odysseus on her island of Ogygia in Homer's Odyssey.
-
B.
Calypso
Calypso is a music-themed accommodation area at Disney's All-Star Music Resort, styled with vibrant Caribbean-inspired decor and larger-than-life musical icons.
-
C.
Ariel
Ariel is a posthumously published poetry collection by Sylvia Plath that is widely regarded as her most powerful and influential work.
-
D.
Ariel
Ariel is a spirit of the air and a central supernatural character in William Shakespeare’s play "The Tempest."
-
E.
Circe
Circe is a powerful enchantress in Greek mythology, best known for transforming Odysseus’s men into animals and later aiding him on his journey.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac94d5ac81909feee876696da589 |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3cb9a648190981182add42325f3 |
completed | March 4, 2026, 3:15 a.m. |
Created at: March 1, 2026, 7:39 p.m.