Triple

T9885979
Position Surface form Disambiguated ID Type / Status
Subject Ross Malinger E180932 entity
Predicate familyName P18 FINISHED
Object Malinger
Malinger is a surname most notably associated with American former child actor Ross Malinger, known for his role in the film "Sleepless in Seattle."
E827960 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: Malinger | Statement: [Ross Malinger, familyName, Malinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malinger
Context triple: [Ross Malinger, familyName, Malinger]
  • A. Rattenberg
    Rattenberg is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany, known for its rural setting and traditional Bavarian character.
  • B. Modrow
    Modrow is a German surname most notably associated with Hans Modrow, the last communist premier of East Germany.
  • C. Mankessim
    Mankessim is a major commercial and historical town in Ghana known as an important market center and traditional seat of the Fante people.
  • D. Menczel
    Menczel is a variant spelling of the surname Menzel, which is of German origin and borne by various notable individuals.
  • E. Kritzinger
    Kritzinger is a German surname most notably associated with Friedrich Wilhelm Kritzinger, a high-ranking Nazi official involved in the administrative planning of the Holocaust.
  • 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: Malinger
Triple: [Ross Malinger, familyName, Malinger]
Generated description
Malinger is a surname most notably associated with American former child actor Ross Malinger, known for his role in the film "Sleepless in Seattle."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Malinger
Target entity description: Malinger is a surname most notably associated with American former child actor Ross Malinger, known for his role in the film "Sleepless in Seattle."
  • A. Rattenberg
    Rattenberg is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany, known for its rural setting and traditional Bavarian character.
  • B. Modrow
    Modrow is a German surname most notably associated with Hans Modrow, the last communist premier of East Germany.
  • C. Mankessim
    Mankessim is a major commercial and historical town in Ghana known as an important market center and traditional seat of the Fante people.
  • D. Menczel
    Menczel is a variant spelling of the surname Menzel, which is of German origin and borne by various notable individuals.
  • E. Kritzinger
    Kritzinger is a German surname most notably associated with Friedrich Wilhelm Kritzinger, a high-ranking Nazi official involved in the administrative planning of the Holocaust.
  • 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb45659748190a3ebd1abe23c8779 completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eafc76b0819098e481bb17a3af2b completed April 5, 2026, 4:54 a.m.
NEDg Description generation batch_69d1ecfce8588190815876afc7ec85d4 completed April 5, 2026, 5:02 a.m.
NED2 Entity disambiguation (via description) batch_69d1ed99963881908dd14786a2e2e87f completed April 5, 2026, 5:05 a.m.
Created at: March 30, 2026, 8:38 p.m.