Triple

T3653396
Position Surface form Disambiguated ID Type / Status
Subject Mare of Easttown E77472 entity
Predicate productionCompany P490 FINISHED
Object Wiip
Wiip is an independent television and film production company known for creating high-profile scripted series for major streaming platforms and networks.
 E375730 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: Wiip | Statement: [Mare of Easttown, productionCompany, Wiip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wiip
Context triple: [Mare of Easttown, productionCompany, Wiip]
  • A. Wiig
    Wiig is the surname of American actress, comedian, and writer Kristen Wiig, known for her work on Saturday Night Live and in films like Bridesmaids.
  • B. WIL
    WIL is the IATA airport code for Wilson Airport, a busy domestic and regional airport serving Nairobi, Kenya.
  • C. WU
    WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
  • D. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • E. WIS
    WIS is the common abbreviation for Wisła Kraków, a historic Polish football club based in Kraków.
  • 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: Wiip
Triple: [Mare of Easttown, productionCompany, Wiip]
Generated description
Wiip is an independent television and film production company known for creating high-profile scripted series for major streaming platforms and networks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wiip
Target entity description: Wiip is an independent television and film production company known for creating high-profile scripted series for major streaming platforms and networks.
  • A. Wiig
    Wiig is the surname of American actress, comedian, and writer Kristen Wiig, known for her work on Saturday Night Live and in films like Bridesmaids.
  • B. WIL
    WIL is the IATA airport code for Wilson Airport, a busy domestic and regional airport serving Nairobi, Kenya.
  • C. WU
    WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
  • D. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • E. WIS
    WIS is the common abbreviation for Wisła Kraków, a historic Polish football club based in Kraków.
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3b805a48190a7bc230a382365d6 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f4541dc8190b794eae019dcffbf completed March 13, 2026, 5:54 p.m.
NEDg Description generation batch_69b45258be648190a98f60bd0cf57faa completed March 13, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_69b45eec592481908e2f002aa2127849 completed March 13, 2026, 7:01 p.m.
Created at: March 8, 2026, 3:24 p.m.