Triple
T14691395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emily the Criminal |
E345042
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Jeff Bierman
Jeff Bierman is a cinematographer best known for his work on the crime thriller film "Emily the Criminal."
|
E1212548
|
NE FINISHED |
How this triple was built (4 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: Jeff Bierman | Statement: [Emily the Criminal, cinematographyBy, Jeff Bierman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Bierman Context triple: [Emily the Criminal, cinematographyBy, Jeff Bierman]
-
A.
Kevin Biegel
Kevin Biegel is an American television writer and producer best known for co-creating the sitcom Cougar Town and working on shows like Scrubs and Enlisted.
-
B.
Greg Beeman
Greg Beeman is an American television director and producer known for his work on genre series such as "Falling Skies," "Heroes," and "Smallville."
-
C.
Chris Bilheimer
Chris Bilheimer is an American graphic designer best known for creating album artwork for bands such as Green Day and R.E.M.
-
D.
Chris Bierden
Chris Bierden is an American bassist and vocalist best known for his work with the Minneapolis-based synth-pop band Poliça.
-
E.
Chris Bauermeister
Chris Bauermeister is an American bassist best known as a founding member of the influential punk rock band Jawbreaker.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jeff Bierman Triple: [Emily the Criminal, cinematographyBy, Jeff Bierman]
Generated description
Jeff Bierman is a cinematographer best known for his work on the crime thriller film "Emily the Criminal."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeff Bierman Target entity description: Jeff Bierman is a cinematographer best known for his work on the crime thriller film "Emily the Criminal."
-
A.
Kevin Biegel
Kevin Biegel is an American television writer and producer best known for co-creating the sitcom Cougar Town and working on shows like Scrubs and Enlisted.
-
B.
Greg Beeman
Greg Beeman is an American television director and producer known for his work on genre series such as "Falling Skies," "Heroes," and "Smallville."
-
C.
Chris Bilheimer
Chris Bilheimer is an American graphic designer best known for creating album artwork for bands such as Green Day and R.E.M.
-
D.
Chris Bierden
Chris Bierden is an American bassist and vocalist best known for his work with the Minneapolis-based synth-pop band Poliça.
-
E.
Chris Bauermeister
Chris Bauermeister is an American bassist best known as a founding member of the influential punk rock band Jawbreaker.
- F. None of above. chosen
Provenance (5 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb585d46c81908d6964130914cec4 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c405ecc81909722377a22db84a5 |
completed | May 10, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_6a003dc6f4888190ae326c9606d2a674 |
completed | May 10, 2026, 8:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0041842cc88190b81432d234f9aa17 |
completed | May 10, 2026, 8:27 a.m. |
Created at: April 10, 2026, 1:28 a.m.