Triple

T5986955
Position Surface form Disambiguated ID Type / Status
Subject David Henry Hwang E133251 entity
Predicate notableWork P4 FINISHED
Object FOB
FOB is a 1980 play by David Henry Hwang that explores the experiences and cultural tensions of Chinese immigrants and American-born Chinese in the United States.
 E560078 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: FOB | Statement: [David Henry Hwang, notableWork, FOB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FOB
Context triple: [David Henry Hwang, notableWork, FOB]
  • A. Fobbing
    Fobbing is a small historic village in the borough of Thurrock, Essex, England, known for its rural character and medieval origins.
  • B. LFOB
    LFOB is the ICAO airport code for Beauvais–Tillé Airport, a regional international airport serving the Beauvais area near Paris, France.
  • C. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • D. FUK
    FUK is the IATA airport code for Fukuoka Airport, a major international and domestic air hub serving the city of Fukuoka in Japan.
  • E. FAB
    FAB is the acronym for the Brazilian Air Force, the aerial warfare branch of Brazil’s armed forces.
  • 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: FOB
Triple: [David Henry Hwang, notableWork, FOB]
Generated description
FOB is a 1980 play by David Henry Hwang that explores the experiences and cultural tensions of Chinese immigrants and American-born Chinese in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FOB
Target entity description: FOB is a 1980 play by David Henry Hwang that explores the experiences and cultural tensions of Chinese immigrants and American-born Chinese in the United States.
  • A. Fobbing
    Fobbing is a small historic village in the borough of Thurrock, Essex, England, known for its rural character and medieval origins.
  • B. LFOB
    LFOB is the ICAO airport code for Beauvais–Tillé Airport, a regional international airport serving the Beauvais area near Paris, France.
  • C. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • D. FUK
    FUK is the IATA airport code for Fukuoka Airport, a major international and domestic air hub serving the city of Fukuoka in Japan.
  • E. FAB
    FAB is the acronym for the Brazilian Air Force, the aerial warfare branch of Brazil’s armed forces.
  • 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04dc38a308190a368c5c787a5fc64 completed March 22, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e42a0fcc8190ab8d7f797b58a8e0 completed March 23, 2026, 6:56 a.m.
NEDg Description generation batch_69c0f6e214748190a8e9452353853da4 completed March 23, 2026, 8:16 a.m.
NED2 Entity disambiguation (via description) batch_69c0f74c175c81909d4414ca34fa85dd completed March 23, 2026, 8:18 a.m.
Created at: March 22, 2026, 4:04 p.m.