Triple
T20239257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirk Joseph |
E498236
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Kirk Joseph |
—
|
NE NERFINISHED |
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: Kirk Joseph | Statement: [Kirk Joseph, knownAs, Kirk Joseph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirk Joseph Context triple: [Kirk Joseph, knownAs, Kirk Joseph]
-
A.
Kirk Joseph
chosen
Kirk Joseph is an American sousaphonist best known as a founding member and key innovator of the New Orleans–based Dirty Dozen Brass Band.
-
B.
Kirk Michael
Kirk Michael is a village on the Isle of Man known for lying along the route of the famous Isle of Man TT motorcycle races.
-
C.
Kirk Baxter
Kirk Baxter is an Australian film editor best known for his Academy Award–winning collaborations with director David Fincher on films such as "The Social Network" and "The Girl with the Dragon Tattoo."
-
D.
Kirk Morri
Kirk Morri is a film editor best known for his work on major Hollywood productions, including the DC superhero film "Aquaman."
-
E.
Kirk Lazarus
Kirk Lazarus is a method-obsessed, Oscar-winning Australian actor portrayed by Robert Downey Jr. in the satirical war-comedy film "Tropic Thunder."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716c8de88190916bfa1d6b7f79cb |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.