Triple
T15490571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telchines |
E378670
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Hera |
E16933
|
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: Hera | Statement: [Telchines, associatedWith, Hera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hera Context triple: [Telchines, associatedWith, Hera]
-
A.
Hera
chosen
Hera is the queen of the Olympian gods in Greek mythology, revered as the goddess of marriage, women, and family.
-
B.
Δήμητρα
Η Δήμητρα είναι στην ελληνική μυθολογία η θεά της γεωργίας, της γονιμότητας της γης και της συγκομιδής.
-
C.
HERA
HERA was a major particle accelerator and collider at DESY in Hamburg, Germany, used primarily for high-energy electron–proton collision experiments in particle physics.
-
D.
HERA
HERA is a 2008 U.S. federal law enacted in response to the subprime mortgage crisis to stabilize the housing market, reform mortgage regulation, and support troubled homeowners and financial institutions.
-
E.
Ἥβη
Ἥβη is the Greek goddess of youth, daughter of Zeus and Hera, who served as cupbearer to the gods on Mount Olympus.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fac2af88190ac1d119e6b21dbe0 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff365f27c48190822254b6da504d3d |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:48 a.m.