Triple
T8696783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Cocker |
E206422
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Cocker
Cocker is the surname of English rock and blues singer Joe Cocker, known for his gritty voice and soulful cover versions of popular songs.
|
E750494
|
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: Cocker | Statement: [Joe Cocker, familyName, Cocker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cocker Context triple: [Joe Cocker, familyName, Cocker]
-
A.
Beagle
Beagle is the NATO reporting name for the Soviet-era Ilyushin Il-28 jet bomber aircraft.
-
B.
Basset
Basset is a surname and term most commonly associated with the Basset Hound dog breed and with various historical families and individuals bearing that name.
-
C.
Chester French
Chester French is an American indie pop duo known for their genre-blending sound, witty lyrics, and early association with producers like Pharrell Williams.
-
D.
Jack Russell Terrier
The Jack Russell Terrier is a small, energetic, and intelligent dog breed known for its strong hunting instincts, lively personality, and distinctive white coat with tan or black markings.
-
E.
Little Tew
Little Tew is a small rural village in Oxfordshire, England, known for its traditional stone cottages and picturesque countryside setting.
- 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: Cocker Triple: [Joe Cocker, familyName, Cocker]
Generated description
Cocker is the surname of English rock and blues singer Joe Cocker, known for his gritty voice and soulful cover versions of popular songs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cocker Target entity description: Cocker is the surname of English rock and blues singer Joe Cocker, known for his gritty voice and soulful cover versions of popular songs.
-
A.
Beagle
Beagle is the NATO reporting name for the Soviet-era Ilyushin Il-28 jet bomber aircraft.
-
B.
Basset
Basset is a surname and term most commonly associated with the Basset Hound dog breed and with various historical families and individuals bearing that name.
-
C.
Chester French
Chester French is an American indie pop duo known for their genre-blending sound, witty lyrics, and early association with producers like Pharrell Williams.
-
D.
Jack Russell Terrier
The Jack Russell Terrier is a small, energetic, and intelligent dog breed known for its strong hunting instincts, lively personality, and distinctive white coat with tan or black markings.
-
E.
Little Tew
Little Tew is a small rural village in Oxfordshire, England, known for its traditional stone cottages and picturesque countryside setting.
- 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_69ca83555b6c8190abe930dd397e863b |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc582b04688190a439135b08e20451 |
completed | March 31, 2026, 11:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef4060410819086f928bda95e0273 |
completed | April 2, 2026, 10:56 p.m. |
| NEDg | Description generation | batch_69cef5fe6e48819086186f44d078137d |
completed | April 2, 2026, 11:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cef6a6b6d4819089b3dc327a05b759 |
completed | April 2, 2026, 11:07 p.m. |
Created at: March 30, 2026, 6:34 p.m.