Triple
T5049653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LernaeanHydra |
E113751
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Scylla |
E103086
|
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: Scylla | Statement: [LernaeanHydra, sibling, Scylla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scylla Context triple: [LernaeanHydra, sibling, Scylla]
-
A.
Scylla
chosen
Scylla is a fearsome sea monster from Greek mythology, often depicted with multiple heads and dwelling in a narrow strait opposite the whirlpool Charybdis.
-
B.
Charybdis
Charybdis is a monstrous sea creature from Greek mythology, often depicted as a deadly whirlpool that threatens sailors alongside the monster Scylla.
-
C.
Scylla and Charybdis
Scylla and Charybdis are a pair of deadly sea monsters from Greek mythology that embody the perilous choice between two dangers, famously encountered by Odysseus.
-
D.
Polyphemus
Polyphemus is the one-eyed Cyclops in Greek mythology best known for trapping Odysseus and his men in a cave and being outwitted and blinded by them.
-
E.
Gorg
Gorg is a neighborhood and metro/tram station area in Badalona, near Barcelona, known for its role as a local transport hub and residential district.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74249a8c8190952680aee06a9286 |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea480fee88190a4302301259f29ba |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:37 p.m.