Triple
T31244941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howie Casey |
E796661
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object |
Howie Casey and the Seniors
Howie Casey and the Seniors were a British rock and roll band from Liverpool active in the early 1960s, notable as one of the first Merseybeat groups to gain success in Hamburg, Germany.
|
E1954718
|
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: Howie Casey and the Seniors | Statement: [Howie Casey, memberOf, Howie Casey and the Seniors]
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: Howie Casey and the Seniors Triple: [Howie Casey, memberOf, Howie Casey and the Seniors]
Generated description
Howie Casey and the Seniors were a British rock and roll band from Liverpool active in the early 1960s, notable as one of the first Merseybeat groups to gain success in Hamburg, Germany.
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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69d51a73c8190aeadfcb6afc93cbb |
completed | May 3, 2026, 12:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a296bedb80c8190a4ebb2cb067b365c |
completed | June 10, 2026, 1:51 p.m. |
| NEDg | Description generation | batch_6a296c9a1c4c81909c8fc4f25e4d0e6d |
completed | June 10, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a29c642277c819081131c5da71c8ce2 |
completed | June 10, 2026, 8:17 p.m. |
Created at: April 29, 2026, 9:11 p.m.