Triple
T11325185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert William Hoskins |
E268193
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Bob Hoskins |
E33695
|
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: Bob Hoskins | Statement: [Robert William Hoskins, alsoKnownAs, Bob Hoskins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Hoskins Context triple: [Robert William Hoskins, alsoKnownAs, Bob Hoskins]
-
A.
Bob Hoskins
chosen
Bob Hoskins was an acclaimed English actor known for his intense, often gritty performances in films such as "The Long Good Friday," "Mona Lisa," and "Who Framed Roger Rabbit."
-
B.
Danny Glover
Danny Glover is an American actor and activist best known for his roles in films such as the "Lethal Weapon" series and "The Color Purple."
-
C.
Dominique Caine
Dominique Caine is one of the children of acclaimed British actor Michael Caine.
-
D.
Eric Roberts
Eric Roberts is an American actor known for his prolific film and television career, including an iconic turn as the villainous Time Lord known as the Master in the 1996 Doctor Who TV movie.
-
E.
Eric S. Roberts
Eric S. Roberts is a prominent computer scientist and educator known for his influential work in computer science pedagogy, curriculum development, and widely used textbooks.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e122e48190b3f890de8d561480 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525fb8d74819089d1505d1f0f116c |
completed | April 19, 2026, 6:59 p.m. |
Created at: April 8, 2026, 9:32 p.m.