Triple

T14962775
Position Surface form Disambiguated ID Type / Status
Subject Jean Sagal E373103 entity
Predicate familyName P18 FINISHED
Object Sagal
Sagal is a surname most notably associated with a family of American actors and entertainers, including Jean Sagal and her relatives.
 E1130532 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: Sagal | Statement: [Jean Sagal, familyName, Sagal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sagal
Context triple: [Jean Sagal, familyName, Sagal]
  • A. Sagàs
    Sagàs is a small rural municipality in the Berguedà comarca of Catalonia, Spain, known for its agricultural landscape and traditional Catalan countryside.
  • B. Sagala
    Sagala was an important ancient city in the Punjab region, historically known as a major political and cultural center under Indo-Greek rule.
  • C. Sagiada
    Sagiada is a small coastal town in northwestern Greece, near the Albanian border, known for its fishing harbor and views over the Ionian Sea.
  • D. Ragalna
    Ragalna is a small Italian town on the slopes of Mount Etna in Sicily, known for its volcanic landscapes and agricultural traditions.
  • E. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • 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: Sagal
Triple: [Jean Sagal, familyName, Sagal]
Generated description
Sagal is a surname most notably associated with a family of American actors and entertainers, including Jean Sagal and her relatives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sagal
Target entity description: Sagal is a surname most notably associated with a family of American actors and entertainers, including Jean Sagal and her relatives.
  • A. Sagàs
    Sagàs is a small rural municipality in the Berguedà comarca of Catalonia, Spain, known for its agricultural landscape and traditional Catalan countryside.
  • B. Sagala
    Sagala was an important ancient city in the Punjab region, historically known as a major political and cultural center under Indo-Greek rule.
  • C. Sagiada
    Sagiada is a small coastal town in northwestern Greece, near the Albanian border, known for its fishing harbor and views over the Ionian Sea.
  • D. Ragalna
    Ragalna is a small Italian town on the slopes of Mount Etna in Sicily, known for its volcanic landscapes and agricultural traditions.
  • E. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6d0487c8190b7754af8c5014b37 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bdeec408190893d1db9254da24e completed May 9, 2026, 1:20 a.m.
NEDg Description generation batch_69fe90383bd081908bc754655c203695 completed May 9, 2026, 1:39 a.m.
NED2 Entity disambiguation (via description) batch_69fe90ec50e081909ab267fee2b069bc completed May 9, 2026, 1:42 a.m.
Created at: April 10, 2026, 2:40 a.m.