Triple
T17415092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Howard |
E423468
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Alan Howard |
—
|
NE NERFINISHED |
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: Alan Howard | Statement: [Alan Howard, name, Alan Howard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Howard Context triple: [Alan Howard, name, Alan Howard]
-
A.
Alan Howard
chosen
Alan Howard was an English actor known for his distinguished stage career with the Royal Shakespeare Company and notable film roles.
-
B.
Michael Ironside
Michael Ironside is a Canadian actor known for his intense, often villainous roles in science fiction and action films such as "Total Recall," "Starship Troopers," and "Top Gun."
-
C.
Ian Menzies
Ian Menzies is a notable individual who shares the Menzies surname, recognized as a distinguished bearer of that family name.
-
D.
Michael Hordern
Michael Hordern was an English actor renowned for his distinguished stage and screen career, often noted for his Shakespearean roles and character work in British film and television.
-
E.
Anthony Ainley
Anthony Ainley was an English actor best known for playing the villainous Time Lord known as the Master in the long-running British science fiction series Doctor Who.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44231e29881909695a33aab1d49a2 |
completed | April 19, 2026, 2:47 a.m. |
Created at: April 10, 2026, 5:46 a.m.