Triple
T870183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odysseus |
E18791
|
entity |
| Predicate | encounters |
P13259
|
FINISHED |
| Object | Sirens |
E24661
|
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: Sirens | Statement: [Odysseus, encounters, Sirens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sirens Context triple: [Odysseus, encounters, Sirens]
-
A.
the Sirens
chosen
The Sirens are mythical creatures from Greek mythology whose irresistibly beautiful song lures sailors to their doom.
-
B.
Calypso Deep
Calypso Deep is the deepest known point in the Mediterranean Sea, located in the Hellenic Trench near Greece.
-
C.
Like the Sea
"Like the Sea" is a soulful R&B ballad by Alicia Keys from her album "The Element of Freedom," noted for its serene, metaphor-rich lyrics and gentle, flowing melody.
-
D.
Whisper
Whisper is an open-source automatic speech recognition system by OpenAI that transcribes and translates spoken language with high accuracy across many languages.
-
E.
Thunderlips
Thunderlips is a flamboyant professional wrestler, portrayed by Hulk Hogan, who appears as an exhibition opponent for Rocky Balboa in the film "Rocky III."
- 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_69a4b2b8063081909566c404ca63a29e |
completed | March 1, 2026, 9:42 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.