Triple
T9666000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Endymion |
E233704
|
entity |
| Predicate | titleCharacter |
P9202
|
FINISHED |
| Object | Endymion |
E484155
|
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: Endymion | Statement: [Endymion, titleCharacter, Endymion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Endymion Context triple: [Endymion, titleCharacter, Endymion]
-
A.
Endymion
Endymion is a long Romantic narrative poem by John Keats, best known for its opening line, “A thing of beauty is a joy for ever.”
-
B.
Endymion
chosen
Endymion is a handsome mortal youth in Greek mythology who was granted eternal sleep and agelessness, famously beloved by the moon goddess Selene.
-
C.
Endymion
Endymion is a late 16th-century allegorical comedy play by John Lyly, notable for its elaborate courtly language and its reflection of Elizabethan court politics.
-
D.
The Constant Nymph
The Constant Nymph is a 1943 romantic drama film, based on Margaret Kennedy’s novel, best known for Joan Fontaine’s acclaimed performance as a young woman in a tragic love triangle.
-
E.
Lamia
Lamia is a historic city in central Greece, known as the capital of the regional unit of Phthiotis and a strategic hub between northern and southern Greece.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c38f65c8190a0ed20830249a0f1 |
completed | April 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190f691c8819093fe133bdbe1c9d1 |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:14 p.m.