Triple
T4502485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert R. Broccoli |
E101253
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Cubby Broccoli
Cubby Broccoli was a prominent American film producer best known for co-founding and long overseeing the James Bond movie franchise.
|
E447319
|
NE FINISHED |
How this triple was built (4 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: Cubby Broccoli | Statement: [Albert R. Broccoli, alsoKnownAs, Cubby Broccoli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cubby Broccoli Context triple: [Albert R. Broccoli, alsoKnownAs, Cubby Broccoli]
-
A.
Burt Kwouk
Burt Kwouk was a British actor best known for his comedic role as Cato Fong in the Pink Panther film series.
-
B.
Vincent Yuan
Vincent Yuan is the son of renowned Chinese-American experimental physicist Chien-Shiung Wu.
-
C.
Keye Luke
Keye Luke was a Chinese-American actor and artist best known for his roles in the Charlie Chan films, the original "Kung Fu" TV series, and as Master Po in "Kung Fu."
-
D.
Cecil Chao
Cecil Chao is a Hong Kong billionaire property developer best known internationally for offering large monetary rewards to any man who could successfully marry his lesbian daughter.
-
E.
Jimmy Woo
Jimmy Woo is a Marvel Comics and Marvel Cinematic Universe character, depicted as an earnest and by-the-book FBI agent who often becomes entangled in superhero-related investigations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cubby Broccoli Triple: [Albert R. Broccoli, alsoKnownAs, Cubby Broccoli]
Generated description
Cubby Broccoli was a prominent American film producer best known for co-founding and long overseeing the James Bond movie franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cubby Broccoli Target entity description: Cubby Broccoli was a prominent American film producer best known for co-founding and long overseeing the James Bond movie franchise.
-
A.
Burt Kwouk
Burt Kwouk was a British actor best known for his comedic role as Cato Fong in the Pink Panther film series.
-
B.
Vincent Yuan
Vincent Yuan is the son of renowned Chinese-American experimental physicist Chien-Shiung Wu.
-
C.
Keye Luke
Keye Luke was a Chinese-American actor and artist best known for his roles in the Charlie Chan films, the original "Kung Fu" TV series, and as Master Po in "Kung Fu."
-
D.
Cecil Chao
Cecil Chao is a Hong Kong billionaire property developer best known internationally for offering large monetary rewards to any man who could successfully marry his lesbian daughter.
-
E.
Jimmy Woo
Jimmy Woo is a Marvel Comics and Marvel Cinematic Universe character, depicted as an earnest and by-the-book FBI agent who often becomes entangled in superhero-related investigations.
- F. None of above. chosen
Provenance (5 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56fb2bec8190b74b6a49d9475514 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f90d6a4819085d911de5443f111 |
completed | March 20, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69bd71b00a2481909309765b6cc2e73d |
completed | March 20, 2026, 4:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd727abda08190bdc1d6ea015f3e46 |
completed | March 20, 2026, 4:14 p.m. |
Created at: March 20, 2026, 1 p.m.