Triple
T19256023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hydra |
E481518
|
entity |
| Predicate | offspring |
P980
|
FINISHED |
| Object | Orthrus |
—
|
NE NERFINISHED |
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: Orthrus | Statement: [Hydra, offspring, Orthrus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orthrus Context triple: [Hydra, offspring, Orthrus]
-
A.
Orthrus
chosen
Orthrus is a two-headed dog from Greek mythology, often associated with the giant Geryon and slain by the hero Heracles.
-
B.
Alcathous
Alcathous is a relatively obscure figure in Greek mythology known primarily as a sibling of the Mycenaean king Atreus.
-
C.
Alcathous
Alcathous is the ancient acropolis of the Greek city of Megara, serving as its fortified citadel and religious center.
-
D.
Gryphus
Gryphus is a fictional character known primarily as the father of Rosa Gryphus.
-
E.
Argus
Argus is an early distributed programming language known for pioneering concepts in fault-tolerant, distributed systems and influencing modern object-oriented and concurrent programming.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb3572c08190a55f1c71cdb18b42 |
completed | April 20, 2026, 10:08 a.m. |
Created at: April 10, 2026, 1:28 p.m.