Triple
T17891070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Romolo Broccoli |
E447316
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Cubby
Cubby was the affectionate nickname of Albert R. Broccoli, the influential film producer best known for co-founding and producing the James Bond movie franchise.
|
E1294001
|
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 | Statement: [Albert Romolo Broccoli, nickname, Cubby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cubby Context triple: [Albert Romolo Broccoli, nickname, Cubby]
-
A.
Cubby
Cubby is a young, map-carrying pirate and one of Jake’s crewmates in the animated children’s series "Jake and the Never Land Pirates."
-
B.
Cubbie Bear
Cubbie Bear is the costumed bear mascot of the Iowa Cubs minor league baseball team, entertaining fans at games and community events.
-
C.
Picaboo
Picaboo was the original name of the multimedia messaging app that later became Snapchat.
-
D.
Tubby
Tubby is the nickname of American college basketball coach Tubby Smith, known for leading the University of Kentucky to the 1998 NCAA championship.
-
E.
Coby
Coby is a given name commonly used as a diminutive or nickname, particularly for names like Jacoba or Jacob.
- 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 Triple: [Albert Romolo Broccoli, nickname, Cubby]
Generated description
Cubby was the affectionate nickname of Albert R. Broccoli, the influential film producer best known for co-founding and producing the James Bond movie franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cubby Target entity description: Cubby was the affectionate nickname of Albert R. Broccoli, the influential film producer best known for co-founding and producing the James Bond movie franchise.
-
A.
Cubby
Cubby is a young, map-carrying pirate and one of Jake’s crewmates in the animated children’s series "Jake and the Never Land Pirates."
-
B.
Cubbie Bear
Cubbie Bear is the costumed bear mascot of the Iowa Cubs minor league baseball team, entertaining fans at games and community events.
-
C.
Picaboo
Picaboo was the original name of the multimedia messaging app that later became Snapchat.
-
D.
Tubby
Tubby is the nickname of American college basketball coach Tubby Smith, known for leading the University of Kentucky to the 1998 NCAA championship.
-
E.
Coby
Coby is a given name commonly used as a diminutive or nickname, particularly for names like Jacoba or Jacob.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7948888190b59ddc7061d13e84 |
completed | April 19, 2026, 9:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0313e10c40819089cb912a020b32de |
completed | May 12, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_6a031528abac8190b5257eff1647b6b3 |
completed | May 12, 2026, 11:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03164881ec8190a783b095f3cf47b3 |
completed | May 12, 2026, noon |
Created at: April 10, 2026, 10:18 a.m.