Triple
T11680680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milk Money |
E277605
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Malcolm McDowell |
E241113
|
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: Malcolm McDowell | Statement: [Milk Money, castMember, Malcolm McDowell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malcolm McDowell Context triple: [Milk Money, castMember, Malcolm McDowell]
-
A.
Malcolm McDowell
chosen
Malcolm McDowell is an English actor renowned for his intense and often villainous roles in films such as "A Clockwork Orange" and "If...."
-
B.
Terence Stamp
Terence Stamp is an English actor known for his distinctive presence and performances in films such as "The Collector," "Superman II," and "The Limey."
-
C.
Gary Beach
Gary Beach was a Tony Award–winning American actor and singer best known for his comedic stage performances, particularly in musical theatre.
-
D.
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."
-
E.
Oliver Reed
Oliver Reed was a British actor known for his intense screen presence and roles in films such as "Oliver!", "Women in Love," and his final performance in "Gladiator."
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a461b0908190bef4e1c6777affcf |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef141134bc81908c0cfb0a3711c115 |
completed | April 27, 2026, 7:45 a.m. |
Created at: April 8, 2026, 9:40 p.m.