Triple
T21923536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Tyndareus |
E541380
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Tyndareus |
—
|
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: Tyndareus | Statement: [House of Tyndareus, namedAfter, Tyndareus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyndareus Context triple: [House of Tyndareus, namedAfter, Tyndareus]
-
A.
Tyndareus
chosen
Tyndareus is a king of Sparta in Greek mythology, best known as the mortal husband of Leda and the (often) earthly father of Helen of Troy and the Dioscuri.
-
B.
Tithraustes
Tithraustes was a Persian military commander who led Achaemenid forces against the Greeks during the early 5th century BCE.
-
C.
Eleseus
Eleseus is a character in Knut Hamsun’s novel "Growth of the Soil," portrayed as the more educated and urban-minded son whose ambitions contrast with his family’s rural, agrarian life.
-
D.
Palamedes
Palamedes is a 1625 Dutch tragedy by Joost van den Vondel that allegorically critiques political and religious injustice in the Dutch Republic.
-
E.
Zeus Carver
Zeus Carver is a quick-witted Harlem shop owner who becomes John McClane’s reluctant but resourceful partner in the action film "Die Hard with a Vengeance."
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1233dc504819083ee27e253805189 |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 16, 2026, 7:45 p.m.