Triple

T5752764
Position Surface form Disambiguated ID Type / Status
Subject Joe Swanberg E126890 entity
Predicate givenName P17 FINISHED
Object Joe
Joe Swanberg is an American independent filmmaker, actor, and director known for his low-budget, improvisational style and contributions to the mumblecore movement.
 E564378 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: Joe | Statement: [Joe Swanberg, givenName, Joe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Joe
Context triple: [Joe Swanberg, givenName, Joe]
  • A. Joe
    Joe is an American R&B singer and songwriter known for his smooth vocals and romantic ballads, particularly popular in the late 1990s and early 2000s.
  • B. Joe
    Joe is a central character in the classic 1959 comedy film "Some Like It Hot," where he is one of two musicians who disguise themselves as women to escape mobsters.
  • C. Joe
    Joe is the given name of Joe Nickell, an American investigator and author known for his work examining alleged paranormal and mysterious phenomena.
  • D. Joe
    Joe is the given name of Joe Rosenthal, the American photographer famous for his iconic World War II image of the flag raising on Iwo Jima.
  • E. Joe
    "Joe" is a 1970 American drama film, directed by John G. Avildsen, that explores class conflict and reactionary violence through the unlikely alliance between a wealthy executive and a bigoted factory worker.
  • 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: Joe
Triple: [Joe Swanberg, givenName, Joe]
Generated description
Joe Swanberg is an American independent filmmaker, actor, and director known for his low-budget, improvisational style and contributions to the mumblecore movement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Joe
Target entity description: Joe Swanberg is an American independent filmmaker, actor, and director known for his low-budget, improvisational style and contributions to the mumblecore movement.
  • A. Joe
    Joe is a notable artwork created by Japanese photographer and artist Hiroshi Sugimoto.
  • B. Joe
    Joe is an American R&B singer and songwriter known for his smooth vocals and romantic ballads, particularly popular in the late 1990s and early 2000s.
  • C. Joe
    Joe is a central character in the classic 1959 comedy film "Some Like It Hot," where he is one of two musicians who disguise themselves as women to escape mobsters.
  • D. Joe
    Joe is the given name of Joe Rosenthal, the American photographer famous for his iconic World War II image of the flag raising on Iwo Jima.
  • E. Joe
    "Joe" is a 1970 American drama film, directed by John G. Avildsen, that explores class conflict and reactionary violence through the unlikely alliance between a wealthy executive and a bigoted factory worker.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0288b580c81909e1289982b106695 completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1134155608190bc9271dba417a512 completed March 23, 2026, 10:17 a.m.
NEDg Description generation batch_69c11433c1a081908d261c2f8439fcdd completed March 23, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69c11498f2948190bcca6b8054186e75 completed March 23, 2026, 10:23 a.m.
Created at: March 22, 2026, 3:48 p.m.