Triple
T2022237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 300 |
E44130
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Dilios
Dilios is the Spartan soldier and narrator in the film "300," known for recounting King Leonidas's stand at Thermopylae.
|
E224747
|
NE FINISHED |
How this triple was built (4 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: [300, mainCharacter, Dilios]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dilios Context triple: [300, mainCharacter, Dilios]
-
A.
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.
-
B.
Linos
Linos is an alternative form of the name Linus, often associated with figures from ancient Greek mythology and early Christian tradition.
-
C.
Cleon
Cleon was an influential Athenian statesman and general during the Peloponnesian War, known for his aggressive policies and prominent role in Athenian politics.
-
D.
Kerykes
Kerykes was an important Athenian priestly family closely associated with the sacred rites and hereditary offices of the Eleusinian Mysteries.
-
E.
Timoteus
Timoteus is a male given name, commonly used in various European languages and derived from the biblical name Timothy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dilios Triple: [300, mainCharacter, Dilios]
Generated description
Dilios is the Spartan soldier and narrator in the film "300," known for recounting King Leonidas's stand at Thermopylae.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dilios Target entity description: Dilios is the Spartan soldier and narrator in the film "300," known for recounting King Leonidas's stand at Thermopylae.
-
A.
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.
-
B.
Linos
Linos is an alternative form of the name Linus, often associated with figures from ancient Greek mythology and early Christian tradition.
-
C.
Cleon
Cleon was an influential Athenian statesman and general during the Peloponnesian War, known for his aggressive policies and prominent role in Athenian politics.
-
D.
Kerykes
Kerykes was an important Athenian priestly family closely associated with the sacred rites and hereditary offices of the Eleusinian Mysteries.
-
E.
Timoteus
Timoteus is a male given name, commonly used in various European languages and derived from the biblical name Timothy.
- F. None of above. chosen
Provenance (5 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_69a8891201bc8190aca837be6de41579 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8efbe148190901d3650aa60408a |
completed | March 7, 2026, 5:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0af7e5b0819088e2221ddc0a38ce |
completed | March 8, 2026, 11:49 p.m. |
| NEDg | Description generation | batch_69ae0b78340c8190897a8cbba418cb00 |
completed | March 8, 2026, 11:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0c01b30c81908394e31aa3238bfa |
completed | March 8, 2026, 11:53 p.m. |
Created at: March 4, 2026, 7:38 p.m.