Triple
T20209793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Leander |
E493458
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mike Leander |
—
|
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: Mike Leander | Statement: [Mike Leander, name, Mike Leander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Leander Context triple: [Mike Leander, name, Mike Leander]
-
A.
Mike Leander
chosen
Mike Leander was a British arranger, songwriter, and record producer best known for his work with artists like Gary Glitter and for arranging the Beatles’ “She’s Leaving Home.”
-
B.
Eric Leighton
Eric Leighton is a film director and animator best known for co-directing Disney's 2000 computer-animated feature "Dinosaur."
-
C.
Michael Leiters
Michael Leiters is an automotive executive known for senior leadership roles at high-performance sports car manufacturers, including serving as CEO of McLaren Automotive.
-
D.
Mike Lewis
Mike Lewis is a former American college basketball player and coach best known for his standout career at Duke University in the 1960s.
-
E.
Mike Lewis
Mike Lewis is a musician best known for having been an early member of the indie rock band Yo La Tengo.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed4706c81908a5e4a3023a9c22f |
completed | April 20, 2026, 6:22 p.m. |
Created at: April 11, 2026, 11:38 p.m.