Triple
T19033217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lennie Briscoe |
E465797
|
entity |
| Predicate | partner |
P1136
|
FINISHED |
| Object | Mike Logan |
—
|
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 Logan | Statement: [Lennie Briscoe, partner, Mike Logan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Logan Context triple: [Lennie Briscoe, partner, Mike Logan]
-
A.
Mike Logan
chosen
Mike Logan is a tough, impulsive New York City detective from the Law & Order franchise known for his streetwise attitude and occasional clashes with authority.
-
B.
Don Logan
Don Logan is a volatile and menacing criminal character from the British film "Sexy Beast," best known for Ben Kingsley’s intense, Oscar-nominated performance.
-
C.
Robert Logan
Robert Logan is a British composer and electronic musician known for his atmospheric, experimental scores and sound design for film and television.
-
D.
Robert Logan
Robert Logan is an American actor best known for his roles in 1970s and 1980s adventure and family films such as the "Wilderness Family" series.
-
E.
Mark Logan
Mark Logan is the human alter ego and adoptive father figure of the DC Comics superhero Beast Boy, also known as Garfield Logan.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d741cabc8190900e12265ad269f8 |
completed | April 20, 2026, 7:35 a.m. |
Created at: April 10, 2026, 12:02 p.m.