Triple
T13307628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ida |
E316976
|
entity |
| Predicate | hasSiblings |
P363
|
FINISHED |
| Object | Helikon |
E316969
|
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: Helikon | Statement: [Ida, hasSiblings, Helikon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helikon Context triple: [Ida, hasSiblings, Helikon]
-
A.
Helikon
chosen
Helikon is a mountain in Greek mythology, often associated with the Muses and poetic inspiration.
-
B.
Gorgophone
Gorgophone is a figure in Greek mythology, traditionally known as a daughter of Perseus and Andromeda and noted as one of the first women to remarry after being widowed.
-
C.
Helcaraxë
Helcaraxë is the perilous, icy waste in J.R.R. Tolkien’s legendarium that lies between Aman and Middle-earth, infamous for the deadly crossing made by the Noldor.
-
D.
Pteleon
Pteleon was a medieval coastal stronghold in Thessaly that formed part of the Catalan-ruled territories in Greece.
-
E.
Sonar Kella
Sonar Kella is a popular Bengali detective novel by Satyajit Ray featuring the sleuth Feluda, centered on a mystery involving a supposed past life and a legendary golden fortress in Rajasthan.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a8be108190bad0021f95ce3a93 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e58cc48190afb46e8394227ab5 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:29 p.m.