Triple

T10282578
Position Surface form Disambiguated ID Type / Status
Subject Til Schweiger E241140 entity
Predicate familyName P18 FINISHED
Object Schweiger
Schweiger is a German surname most prominently associated with actor and filmmaker Til Schweiger.
E241140 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: Schweiger | Statement: [Til Schweiger, familyName, Schweiger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schweiger
Context triple: [Til Schweiger, familyName, Schweiger]
  • A. Til Schweiger
    Til Schweiger is a prominent German actor, director, and producer known for his roles in both European cinema and Hollywood action films.
  • B. Scheider
    Scheider is the surname of American actor Roy Scheider, best known for his role as Chief Brody in the film "Jaws."
  • C. Theron Warth
    Theron Warth was a film editor known for his work on mid-20th-century American cinema.
  • D. Theron
    Theron is a surname of Greek origin that has been borne by various notable individuals, including actors, athletes, and public figures.
  • E. Kai von Fintel
    Kai von Fintel is a prominent linguist known for his influential work in formal semantics and pragmatics and for his long-standing professorship at MIT.
  • 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: Schweiger
Triple: [Til Schweiger, familyName, Schweiger]
Generated description
Schweiger is a German surname most prominently associated with actor and filmmaker Til Schweiger.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schweiger
Target entity description: Schweiger is a German surname most prominently associated with actor and filmmaker Til Schweiger.
  • A. Til Schweiger chosen
    Til Schweiger is a prominent German actor, director, and producer known for his roles in both European cinema and Hollywood action films.
  • B. Scheider
    Scheider is the surname of American actor Roy Scheider, best known for his role as Chief Brody in the film "Jaws."
  • C. Theron Warth
    Theron Warth was a film editor known for his work on mid-20th-century American cinema.
  • D. Theron
    Theron is a surname of Greek origin that has been borne by various notable individuals, including actors, athletes, and public figures.
  • E. Kai von Fintel
    Kai von Fintel is a prominent linguist known for his influential work in formal semantics and pragmatics and for his long-standing professorship at MIT.
  • F. None of above.

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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2a22f9881908b220dbe1e80c101 completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f83c3c488190b728783bc260b006 completed April 9, 2026, 12:52 a.m.
NEDg Description generation batch_69d6fcae243c819095a2e791716805bd completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd3495fc8190a093d2536cfbe58a completed April 9, 2026, 1:13 a.m.
Created at: April 6, 2026, 11:39 a.m.