Triple
T11966764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rabbit named Rabbit |
E284808
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object |
Berni
Berni is a character that appears earlier in a sequence or series than the rabbit named Rabbit.
|
E957103
|
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: Berni | Statement: [Rabbit named Rabbit, precededBy, Berni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berni Context triple: [Rabbit named Rabbit, precededBy, Berni]
-
A.
Red Berenson
Red Berenson is a legendary ice hockey coach and former NHL player best known for transforming the University of Michigan Wolverines into a perennial collegiate powerhouse.
-
B.
Bennie
Bennie is a masculine given name, often used as a diminutive of Benjamin or Bennett.
-
C.
Bambi Bernét
Bambi Bernét is a character appearing in the musical "Curtains," a Broadway whodunit comedy set behind the scenes of a troubled stage production.
-
D.
Blondell
Blondell is a surname most notably associated with American actress Joan Blondell, a popular film and stage star of the 1930s and 1940s.
-
E.
Binkie Beaumont
Binkie Beaumont was a prominent British theatrical producer and manager known for his influential role in mid-20th-century West End theatre.
- 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: Berni Triple: [Rabbit named Rabbit, precededBy, Berni]
Generated description
Berni is a character that appears earlier in a sequence or series than the rabbit named Rabbit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Berni Target entity description: Berni is a character that appears earlier in a sequence or series than the rabbit named Rabbit.
-
A.
Red Berenson
Red Berenson is a legendary ice hockey coach and former NHL player best known for transforming the University of Michigan Wolverines into a perennial collegiate powerhouse.
-
B.
Bennie
Bennie is a masculine given name, often used as a diminutive of Benjamin or Bennett.
-
C.
Bambi Bernét
Bambi Bernét is a character appearing in the musical "Curtains," a Broadway whodunit comedy set behind the scenes of a troubled stage production.
-
D.
Blondell
Blondell is a surname most notably associated with American actress Joan Blondell, a popular film and stage star of the 1930s and 1940s.
-
E.
Binkie Beaumont
Binkie Beaumont was a prominent British theatrical producer and manager known for his influential role in mid-20th-century West End theatre.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037adf5881908abe1a4e64a71f20 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f45952f69c8190a8c7f3c327ea1a63 |
completed | May 1, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69f45f89d5b08190a87312d96e61898a |
completed | May 1, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f464a5191881908e291943996169cb |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 8, 2026, 9:46 p.m.