Triple
T8153606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pirate Radio |
E190388
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Gavin |
E7397
|
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: Gavin | Statement: [Pirate Radio, mainCharacter, Gavin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gavin Context triple: [Pirate Radio, mainCharacter, Gavin]
-
A.
Gavin
chosen
Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
-
B.
Gaven
Gaven is a suburb on the Gold Coast in Queensland, Australia, known for its semi-rural character and proximity to major transport routes.
-
C.
Garrett
Garrett is a masculine given name of Old French and Germanic origin, commonly used in English-speaking countries.
-
D.
Aidan
Aidan is a masculine given name of Irish origin that has become popular in many English-speaking countries.
-
E.
Gavin Lewis
Gavin Lewis is an American actor known for his roles in television series such as "Little Fires Everywhere" and other film and TV projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb44d566b08190a6bb672f9c368806 |
completed | March 31, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf0518688190b519fbe1823b95c2 |
completed | April 1, 2026, 6:45 a.m. |
Created at: March 30, 2026, 5:37 p.m.