Triple
T10138970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diphilus |
E226931
|
entity |
| Predicate | hasWork |
P6260
|
FINISHED |
| Object | The Hero |
E765722
|
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: The Hero | Statement: [Diphilus, hasWork, The Hero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Hero Context triple: [Diphilus, hasWork, The Hero]
-
A.
The Hero
The Hero is the English title of the acclaimed 1966 Bengali film "Nayak," directed by Satyajit Ray and starring Uttam Kumar as a matinee idol reflecting on his life during a train journey.
-
B.
The Hero
chosen
"The Hero" is a poignant World War I poem by Siegfried Sassoon that bitterly exposes the gap between the brutal reality of a soldier’s death and the comforting lies told to those at home.
-
C.
The Warrior
"The Warrior" is a notable work by Martin Walsh, likely recognized as one of his significant creative or literary contributions.
-
D.
The Face of a Hero
The Face of a Hero is a dramatic work best known as the performance for which American actor Lee Tracy received a major acting award.
-
E.
The Hero as King
"The Hero as King" is a lecture by Thomas Carlyle that explores the figure of the heroic monarch as a central force shaping history and society.
- 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_69ca8433ec308190b8b25a6fe359c34c |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cde8851844819092330e74561b7e34 |
completed | April 2, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e5f8cf7481908d0caca5a245cb64 |
completed | April 5, 2026, 10:45 p.m. |
Created at: March 30, 2026, 9:06 p.m.