Triple

T3405129
Position Surface form Disambiguated ID Type / Status
Subject Josep Lluís Sert E71752 entity
Predicate familyName P18 FINISHED
Object Sert
Sert is the surname of Josep Lluís Sert, a prominent 20th-century Spanish architect known for his modernist designs and leadership at Harvard’s Graduate School of Design.
 E355239 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: Sert | Statement: [Josep Lluís Sert, familyName, Sert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sert
Context triple: [Josep Lluís Sert, familyName, Sert]
  • A. Serber
    Serber is a surname most notably associated with American physicist Robert Serber, who contributed to the Manhattan Project.
  • B. SERT
    SERT is the abbreviation for the Special Emergency Reaction Team, a specialized law enforcement unit trained to respond to high-risk and critical incidents.
  • C. Sergy
    Sergy is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • D. Sark
    Sark is a small, car-free island in the English Channel known for its rugged coastline, traditional feudal-style governance history, and designation as a Dark Sky Island.
  • E. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • 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: Sert
Triple: [Josep Lluís Sert, familyName, Sert]
Generated description
Sert is the surname of Josep Lluís Sert, a prominent 20th-century Spanish architect known for his modernist designs and leadership at Harvard’s Graduate School of Design.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sert
Target entity description: Sert is the surname of Josep Lluís Sert, a prominent 20th-century Spanish architect known for his modernist designs and leadership at Harvard’s Graduate School of Design.
  • A. Serber
    Serber is a surname most notably associated with American physicist Robert Serber, who contributed to the Manhattan Project.
  • B. SERT
    SERT is the abbreviation for the Special Emergency Reaction Team, a specialized law enforcement unit trained to respond to high-risk and critical incidents.
  • C. Sergy
    Sergy is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • D. Sark
    Sark is a small, car-free island in the English Channel known for its rugged coastline, traditional feudal-style governance history, and designation as a Dark Sky Island.
  • E. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • 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_69ad85aac4808190a092c9cc8911f584 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8eaa41c819095a4d51aec074649 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bd69f388190981da6454dfd4fb1 completed March 12, 2026, 11:27 p.m.
NEDg Description generation batch_69b34e486c3c81908e73c5b75baf119c completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b34fc420b08190baee678721b1b32c completed March 12, 2026, 11:44 p.m.
Created at: March 8, 2026, 3:15 p.m.