Triple
T20285757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Whitehead |
E509870
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Creusa, Queen of Athens |
—
|
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: Creusa, Queen of Athens | Statement: [William Whitehead, notableWork, Creusa, Queen of Athens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Creusa, Queen of Athens Context triple: [William Whitehead, notableWork, Creusa, Queen of Athens]
-
A.
Doris of Locris
Doris of Locris was an ancient Greek woman best known as the wife of the powerful Sicilian tyrant Dionysius I of Syracuse.
-
B.
Creusa
Creusa is a figure in Greek mythology, best known as a Trojan princess and the wife of the hero Aeneas.
-
C.
Creusa
chosen
Creusa is a figure in Greek mythology, often depicted as an Athenian princess and mother of Ion in Euripides’ tragedy.
-
D.
Queen of Athens
Queen of Athens is the royal title held by Phaedra, a tragic figure in Greek mythology known for her doomed love for her stepson Hippolytus.
-
E.
Eurydice of Pylos
Eurydice of Pylos is a figure in Greek mythology known as the wife of King Nestor of Pylos and queen of that city-state.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e676924f48819095f6224c8d9bb257 |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 11:06 a.m.