Triple
T9623374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lena Headey |
E232398
|
entity |
| Predicate | role |
P268
|
FINISHED |
| Object | Queen Gorgo |
E224746
|
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: Queen Gorgo | Statement: [Lena Headey, role, Queen Gorgo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen Gorgo Context triple: [Lena Headey, role, Queen Gorgo]
-
A.
Queen Gorgo
chosen
Queen Gorgo is the Spartan queen and wife of King Leonidas, depicted as a strong, politically astute leader in the film "300."
-
B.
Queen Arete
Queen Arete is a wise and influential Phaeacian queen in Greek mythology, best known from Homer's Odyssey for her role in aiding the hero Odysseus.
-
C.
Queen of Sparta
Queen of Sparta is the mythological royal title held by Helen, whose abduction by Paris sparked the Trojan War in Greek legend.
-
D.
Athénaïs
Athénaïs was the familiar name of Madame de Montespan, the influential chief mistress of King Louis XIV of France and a prominent figure at the 17th-century French court.
-
E.
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.
- 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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9ad650a4819096258665bc3f410b |
completed | April 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1797ab3d4819088da04fd5d00386b |
completed | April 4, 2026, 8:50 p.m. |
Created at: March 30, 2026, 8:10 p.m.