Triple

T11822145
Position Surface form Disambiguated ID Type / Status
Subject Sir Nicholas Serota E281165 entity
Predicate familyName P18 FINISHED
Object Serota
Serota is the surname of Sir Nicholas Serota, a prominent British arts administrator best known for his long tenure as director of the Tate galleries.
 E948327 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: Serota | Statement: [Sir Nicholas Serota, familyName, Serota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Serota
Context triple: [Sir Nicholas Serota, familyName, Serota]
  • A. Kerebe
    Kerebe is a Bantu language spoken by the Kerewe people, primarily on Ukerewe Island in Lake Victoria, Tanzania.
  • B. Itege
    Itege is the traditional title for an empress or queen consort in the Ethiopian imperial system.
  • C. Sidama
    Sidama is an ethnic group primarily inhabiting the Sidama Region of southern Ethiopia, known for its distinct Cushitic language and coffee-growing culture.
  • D. Senafe
    Senafe is a town in southern Eritrea known for its strategic location near the Ethiopian border and its surrounding highland landscapes.
  • E. Berbera
    Berbera is a major port city on the Gulf of Aden in Somaliland, serving as a key maritime hub for trade in the Horn of Africa.
  • 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: Serota
Triple: [Sir Nicholas Serota, familyName, Serota]
Generated description
Serota is the surname of Sir Nicholas Serota, a prominent British arts administrator best known for his long tenure as director of the Tate galleries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Serota
Target entity description: Serota is the surname of Sir Nicholas Serota, a prominent British arts administrator best known for his long tenure as director of the Tate galleries.
  • A. Kerebe
    Kerebe is a Bantu language spoken by the Kerewe people, primarily on Ukerewe Island in Lake Victoria, Tanzania.
  • B. Itege
    Itege is the traditional title for an empress or queen consort in the Ethiopian imperial system.
  • C. Sidama
    Sidama is an ethnic group primarily inhabiting the Sidama Region of southern Ethiopia, known for its distinct Cushitic language and coffee-growing culture.
  • D. Senafe
    Senafe is a town in southern Eritrea known for its strategic location near the Ethiopian border and its surrounding highland landscapes.
  • E. Berbera
    Berbera is a major port city on the Gulf of Aden in Somaliland, serving as a key maritime hub for trade in the Horn of Africa.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5e9c50481909b2287a0b23d2094 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131e1891081909cfbd9e2eb168808 completed April 28, 2026, 10:17 p.m.
NEDg Description generation batch_69f14e8a1b788190a1704d6e102342e3 completed April 29, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_69f15715a1588190ba0ec21647adc57c completed April 29, 2026, 12:55 a.m.
Created at: April 8, 2026, 9:42 p.m.