Triple
T16436313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Murder |
E399187
|
entity |
| Predicate | hasFormerMember |
P1168
|
FINISHED |
| Object | Tony Franklin |
E1214062
|
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: Tony Franklin | Statement: [Blue Murder, hasFormerMember, Tony Franklin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Franklin Context triple: [Blue Murder, hasFormerMember, Tony Franklin]
-
A.
Tony Franklin
chosen
Tony Franklin is an English rock bassist best known for his fretless bass work with bands like The Firm and Blue Murder.
-
B.
Richard Franklin
Richard Franklin was a British actor best known for playing Captain Mike Yates in the classic science fiction television series Doctor Who.
-
C.
Richard Franklin
Richard Franklin was an Australian film and television director best known for his work in the thriller and horror genres, including films like "Roadgames" and "Psycho II."
-
D.
Scott Franklin
Scott Franklin is an American film producer known for his frequent collaborations with director Darren Aronofsky on acclaimed movies such as Black Swan and The Wrestler.
-
E.
Dean Franklin
Dean Franklin is a screenwriter best known for his work on the classic World War I film "The Fighting 69th."
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba224988190b7cccc42f35e54de |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0058143cb88190943b951cc8e47a66 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:10 a.m.