Triple
T14660290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Not in Chronological Order |
E344218
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jesse Shatkin |
E291675
|
NE FINISHED |
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: Jesse Shatkin | Statement: [Not in Chronological Order, producer, Jesse Shatkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jesse Shatkin Context triple: [Not in Chronological Order, producer, Jesse Shatkin]
-
A.
Jesse Shatkin
chosen
Jesse Shatkin is a Grammy-nominated American record producer and songwriter known for his work with artists like Sia, Kelly Clarkson, and One Direction.
-
B.
Jesse Rubin
Jesse Rubin is a video game producer known for his work on Bethesda's online action role-playing game Fallout 76.
-
C.
Jesse Stern
Jesse Stern is a television and video game writer best known for his work on the hit first-person shooter Call of Duty 4: Modern Warfare.
-
D.
Jesse Landau
Jesse Landau is known primarily as the child of acclaimed American film producer Jon Landau, associated with blockbuster films like Titanic and Avatar.
-
E.
Luke Shapiro
Luke Shapiro is the teenage marijuana dealer and emotionally troubled protagonist of the coming-of-age film "The Wackness," set in 1990s New York City.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51c84448190a1f5fa9ab8a1e2c4 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa11c81f481909129eef69e47d079 |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 1:27 a.m.