Triple

T9134790
Position Surface form Disambiguated ID Type / Status
Subject Guess E219173 entity
Predicate tickerSymbol P1447 FINISHED
Object GES
GES is the stock ticker symbol for Guess?, Inc., an American clothing and accessories retailer known for its denim and fashion apparel.
 E780574 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: GES | Statement: [Guess, tickerSymbol, GES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GES
Context triple: [Guess, tickerSymbol, GES]
  • A. GER
    GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
  • B. GS
    GS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of South Georgia and the South Sandwich Islands in the southern Atlantic Ocean.
  • C. GS
    GS is the New York Stock Exchange ticker symbol for Goldman Sachs, a leading global investment banking, securities, and asset management firm.
  • D. GS
    GS is the vehicle registration code used on license plates for the town of Gospić in Croatia.
  • E. GS
    GS is the vehicle registration code used on license plates for the district of Goslar in Lower Saxony, 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: GES
Triple: [Guess, tickerSymbol, GES]
Generated description
GES is the stock ticker symbol for Guess?, Inc., an American clothing and accessories retailer known for its denim and fashion apparel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GES
Target entity description: GES is the stock ticker symbol for Guess?, Inc., an American clothing and accessories retailer known for its denim and fashion apparel.
  • A. GER
    GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
  • B. GS
    GS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of South Georgia and the South Sandwich Islands in the southern Atlantic Ocean.
  • C. GS
    GS is the New York Stock Exchange ticker symbol for Goldman Sachs, a leading global investment banking, securities, and asset management firm.
  • D. GS
    GS is the vehicle registration code used on license plates for the town of Gospić in Croatia.
  • E. GS
    GS is the vehicle registration code used on license plates for the district of Goslar in Lower Saxony, Germany.
  • 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_69ca83e012288190a5771058adbaabd2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8de0dec8190978c80b9ec8bf25c completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047efc5e48190bc8c4a7e865faef9 completed April 3, 2026, 11:06 p.m.
NEDg Description generation batch_69d04935d4e88190acb4d65a2dc2bc8a completed April 3, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_69d049e6c4cc81909e08b5aaed9a88dc completed April 3, 2026, 11:14 p.m.
Created at: March 30, 2026, 7:18 p.m.