Triple
T10539744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Wenham |
E248663
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Dilios |
E224747
|
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: Dilios | Statement: [David Wenham, portrayed, Dilios]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dilios Context triple: [David Wenham, portrayed, Dilios]
-
A.
Dilios
chosen
Dilios is the Spartan soldier and narrator in the film "300," known for recounting King Leonidas's stand at Thermopylae.
-
B.
Erasinos
Erasinos is an ancient river in the region of Attica, Greece, historically associated with the sanctuary and coastal area of Brauron.
-
C.
Siris
Siris is a philosophical work by George Berkeley that explores metaphysics, theology, and the medicinal virtues of tar-water through a chain of reflective questions and arguments.
-
D.
Siris
Siris was an ancient Greek city in Magna Graecia, located in southern Italy and known for its strategic position and early Greek colonization.
-
E.
Damaskinos
Damaskinos is a Greek-origin surname historically associated with notable religious and cultural figures.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a582be48190856c6f272eea4dcf |
completed | April 7, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9340da2948190950e7c0ceea12cb1 |
completed | April 10, 2026, 5:31 p.m. |
Created at: April 6, 2026, 12:32 p.m.