Triple
T17581690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RoboCop 3 |
E428217
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Robert DoQui |
—
|
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: Robert DoQui | Statement: [RoboCop 3, castMember, Robert DoQui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert DoQui Context triple: [RoboCop 3, castMember, Robert DoQui]
-
A.
Robert DoQui
chosen
Robert DoQui was an American character actor known for his distinctive voice and roles in films such as the "RoboCop" series and numerous television shows.
-
B.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
-
C.
R. J. Pineiro
R. J. Pineiro is a Cuban-American author and screenwriter best known for his techno-thriller novels and work in action and war-themed films.
-
D.
Gregory Rabassa
Gregory Rabassa was an acclaimed American literary translator best known for bringing major works of Latin American fiction, including Gabriel García Márquez’s novels, into English.
-
E.
Robert Deluce
Robert Deluce is a Canadian airline executive best known for creating and leading Porter Airlines, a regional carrier based at Toronto’s Billy Bishop Airport.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463ce8eb081909257be47d150aa04 |
completed | April 19, 2026, 5:10 a.m. |
Created at: April 10, 2026, 5:50 a.m.