Triple
T17714924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barb Wire |
E442170
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Lawrence Kasanoff |
—
|
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: Lawrence Kasanoff | Statement: [Barb Wire, producer, Lawrence Kasanoff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawrence Kasanoff Context triple: [Barb Wire, producer, Lawrence Kasanoff]
-
A.
Lawrence Kasanoff
chosen
Lawrence Kasanoff is an American film producer best known for his work on the Mortal Kombat franchise and various action and animated films.
-
B.
Lawrence Kasha
Lawrence Kasha was an American theatre producer and director best known for his work on Broadway musicals and adaptations.
-
C.
Charles K. Feldman
Charles K. Feldman was a prominent American film producer and talent agent known for shaping major Hollywood projects and representing high-profile stars during the mid-20th century.
-
D.
George Lerner
George Lerner was an American toy inventor best known for creating the iconic Mr. Potato Head character.
-
E.
Charles Kupperman
Charles Kupperman is an American defense and national security official who briefly served in senior roles on the U.S. National Security Council during the Trump administration.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4747f217081909010f396caaf03be |
completed | April 19, 2026, 6:21 a.m. |
Created at: April 10, 2026, 10:06 a.m.