Triple

T19481538
Position Surface form Disambiguated ID Type / Status
Subject Seth Gabel E487395 entity
Predicate familyName P18 FINISHED
Object Gabel
Gabel is a surname most prominently associated with American actor Seth Gabel, known for his roles in television and film.
 E1378954 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: Gabel | Statement: [Seth Gabel, familyName, Gabel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gabel
Context triple: [Seth Gabel, familyName, Gabel]
  • A. Gabel
    Gabel is a component or subpart associated with the larger entity known as Howard-Gabel.
  • B. Gaub
    Gaub is a barangay (village-level administrative division) of the municipality of Oton in the province of Iloilo, Philippines.
  • C. Grieben
    Grieben is a small village located on the Baltic Sea island of Hiddensee in Germany, known for its tranquil, car-free environment and traditional thatched-roof houses.
  • D. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • E. Grubweg
    Grubweg is a district of the city of Passau in Bavaria, Germany, situated along the Danube River.
  • 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: Gabel
Triple: [Seth Gabel, familyName, Gabel]
Generated description
Gabel is a surname most prominently associated with American actor Seth Gabel, known for his roles in television and film.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gabel
Target entity description: Gabel is a surname most prominently associated with American actor Seth Gabel, known for his roles in television and film.
  • A. Gabel
    Gabel is a component or subpart associated with the larger entity known as Howard-Gabel.
  • B. Gaub
    Gaub is a barangay (village-level administrative division) of the municipality of Oton in the province of Iloilo, Philippines.
  • C. Grieben
    Grieben is a small village located on the Baltic Sea island of Hiddensee in Germany, known for its tranquil, car-free environment and traditional thatched-roof houses.
  • D. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • E. Grubweg
    Grubweg is a district of the city of Passau in Bavaria, Germany, situated along the Danube River.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e634393b8081909f5e4c38b2f1a9b7 completed April 20, 2026, 2:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a074057ba44819082582784847a90da completed May 15, 2026, 3:48 p.m.
NEDg Description generation batch_6a0740ff37fc81908e68db633223fb9c completed May 15, 2026, 3:51 p.m.
NED2 Entity disambiguation (via description) batch_6a07424880e08190a582da18e3a6af19 completed May 15, 2026, 3:56 p.m.
Created at: April 10, 2026, 1:39 p.m.