Triple
T19336115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Street Smart |
E483627
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Evan Lottman |
—
|
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: Evan Lottman | Statement: [Street Smart, editor, Evan Lottman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evan Lottman Context triple: [Street Smart, editor, Evan Lottman]
-
A.
Evan Lottman
chosen
Evan Lottman was an American film editor known for his work on notable films of the 1970s and 1980s.
-
B.
Evan Schiff
Evan Schiff is a film editor known for his work on high-profile action movies, including entries in the John Wick franchise.
-
C.
Evan Ross
Evan Ross is an American actor and musician, known for his film and television roles and as the son of legendary singer Diana Ross.
-
D.
Evan Dunsky
Evan Dunsky is a television writer and producer best known for co-creating the dark comedy-drama series "Nurse Jackie."
-
E.
Evan Martin
Evan Martin is a software engineer known for his work on the Ninja build system and contributions to large-scale C++ development tooling.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61645c0dc8190b64e15c735bcb9f4 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.