Triple
T6413411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Achelous |
E127763
|
entity |
| Predicate | parentOf |
P120
|
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: [Achelous, parentOf, Sirens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sirens Context triple: [Achelous, parentOf, Sirens]
-
A.
Sirens
"Sirens" is a British comedy-drama television series in which Richard Madden stars as a paramedic navigating the darkly humorous and chaotic realities of emergency medical work.
-
B.
Sirens
"Sirens" is a reflective, melodic rock ballad by Pearl Jam known for its emotional lyrics and expansive, atmospheric sound.
-
C.
the Sirens
chosen
The Sirens are mythical creatures from Greek mythology whose irresistibly beautiful song lures sailors to their doom.
-
D.
Sirens' Whispering
"Sirens' Whispering" is a track by the musical project Oceanic, likely evoking an atmospheric, sea-inspired soundscape.
-
E.
La Sirena
La Sirena is a privately owned, Kaplan F17 speed freighter starship captained by Cristóbal Rios and used as the primary vessel by Jean-Luc Picard and his allies in the series Star Trek: Picard.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068e5187c8190a6be1b934e0f1b3a |
completed | March 22, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640c7946081908bb410fcf905535c |
completed | March 27, 2026, 8:33 a.m. |
Created at: March 22, 2026, 4:42 p.m.