Triple
T1000664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poseidon |
E21594
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Theseus |
E30832
|
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: Theseus | Statement: [Poseidon, child, Theseus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theseus Context triple: [Poseidon, child, Theseus]
-
A.
Theseus
chosen
Theseus is a legendary hero of Greek mythology best known for slaying the Minotaur and serving as the mythical king and unifier of Athens.
-
B.
Perseus
Perseus is a legendary Greek hero famed for slaying the Gorgon Medusa and rescuing Andromeda.
-
C.
Lysander
Lysander was a prominent Spartan naval commander whose leadership was crucial in securing Sparta’s victory over Athens at the end of the Peloponnesian War.
-
D.
Heracles
Heracles is a legendary hero of Greek mythology renowned for his superhuman strength and his completion of the Twelve Labors.
-
E.
Oberon
Oberon is a rural town in New South Wales, Australia, known for its cool climate, timber industry, and proximity to Jenolan Caves and the Blue Mountains.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4fb18b88190ae2d620aaaff4f90 |
completed | March 1, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac2a1cb4f08190b1351aadd57c3bda |
completed | March 7, 2026, 1:37 p.m. |
Created at: March 1, 2026, 7:41 p.m.