Triple

T10607840
Position Surface form Disambiguated ID Type / Status
Subject little black dress E275922 entity
Predicate alsoKnownAs P39 FINISHED
Object LBD
LBD is a classic, versatile black cocktail dress considered an essential staple in many women's wardrobes.
 E874208 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: LBD | Statement: [little black dress, alsoKnownAs, LBD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LBD
Context triple: [little black dress, alsoKnownAs, LBD]
  • A. LFBD
    LFBD is the ICAO airport code for Bordeaux–Mérignac Airport, the main international airport serving the Bordeaux region in southwestern France.
  • B. LBN
    LBN is the three-letter ISO 3166-1 alpha-3 country code for Lebanon.
  • C. BLD
    BLD is the IATA airport code for Boulder City Municipal Airport in Boulder City, Nevada, serving general aviation and tour flights near the Las Vegas area and Hoover Dam.
  • D. LB
    LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
  • E. LB
    LB is the vehicle registration code for the Ludwigsburg district in the Stuttgart administrative region of Baden-Württemberg, Germany.
  • 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: LBD
Triple: [little black dress, alsoKnownAs, LBD]
Generated description
LBD is a classic, versatile black cocktail dress considered an essential staple in many women's wardrobes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LBD
Target entity description: LBD is a classic, versatile black cocktail dress considered an essential staple in many women's wardrobes.
  • A. LFBD
    LFBD is the ICAO airport code for Bordeaux–Mérignac Airport, the main international airport serving the Bordeaux region in southwestern France.
  • B. LBN
    LBN is the three-letter ISO 3166-1 alpha-3 country code for Lebanon.
  • C. BLD
    BLD is the IATA airport code for Boulder City Municipal Airport in Boulder City, Nevada, serving general aviation and tour flights near the Las Vegas area and Hoover Dam.
  • D. LB
    LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
  • E. LB
    LB is the former New York Stock Exchange ticker symbol for L Brands, the American retail company that owned brands such as Victoria’s Secret and Bath & Body Works.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df4c38c881908f69bb757b8e03f5 completed April 8, 2026, 11:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95eb726bc8190a8db7357bd126016 completed April 10, 2026, 8:33 p.m.
NEDg Description generation batch_69d95f81955c8190b629d57a034a4b76 completed April 10, 2026, 8:37 p.m.
NED2 Entity disambiguation (via description) batch_69d961047a78819088094e02c0b99f60 completed April 10, 2026, 8:43 p.m.
Created at: April 8, 2026, 7:32 p.m.