Triple
T2910698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Name of the Rose (film) |
E63675
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | William Hickey |
E308166
|
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: William Hickey | Statement: [The Name of the Rose (film), starring, William Hickey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Hickey Context triple: [The Name of the Rose (film), starring, William Hickey]
-
A.
William Hickey
chosen
William Hickey was an American character actor known for his distinctive raspy voice and eccentric roles in film, television, and theater.
-
B.
Murray Slaughter
Murray Slaughter is a fictional television news writer best known as a central character on the classic sitcom "The Mary Tyler Moore Show."
-
C.
Douglas Guilfoyle
Douglas Guilfoyle is an international law scholar known for his work on the law of the sea, maritime security, and international criminal law.
-
D.
Richard Jolley
Richard Jolley is an American glass artist renowned for his large-scale figurative sculptures and significant contributions to contemporary studio glass.
-
E.
John Killoran
John Killoran is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0e899808190a348e1e71116d0a5 |
completed | March 7, 2026, 8:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0561b8e6c8190be69fd39bdd19cca |
completed | March 10, 2026, 5:34 p.m. |
Created at: March 6, 2026, 10:11 p.m.