Triple

T11200303
Position Surface form Disambiguated ID Type / Status
Subject Produzioni Europee Associate E265020 entity
Predicate abbreviation P43 FINISHED
Object PEA
PEA is an Italian film production and distribution company known for its role in European cinema.
E911671 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: PEA | Statement: [Produzioni Europee Associate, abbreviation, PEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PEA
Context triple: [Produzioni Europee Associate, abbreviation, PEA]
  • A. PNE
    PNE is a professional football club based in Preston, Lancashire, England, known for being one of the founding members of the English Football League.
  • B. PNE
    PNE is the National Rail station code for Penge East railway station in south London, England.
  • C. PNE
    PNE is the IATA airport code for Northeast Philadelphia Airport, a public airport serving the northeastern section of Philadelphia, Pennsylvania.
  • D. PIA
    PIA is the ICAO airline designator for Pakistan International Airlines, the national flag carrier of Pakistan.
  • E. Piikani
    Piikani are an Indigenous people of the Blackfoot Confederacy traditionally based in the northern Great Plains of North America.
  • 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: PEA
Triple: [Produzioni Europee Associate, abbreviation, PEA]
Generated description
PEA is an Italian film production and distribution company known for its role in European cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PEA
Target entity description: PEA is an Italian film production and distribution company known for its role in European cinema.
  • A. PNE
    PNE is a professional football club based in Preston, Lancashire, England, known for being one of the founding members of the English Football League.
  • B. PNE
    PNE is the National Rail station code for Penge East railway station in south London, England.
  • C. PNE
    PNE is the IATA airport code for Northeast Philadelphia Airport, a public airport serving the northeastern section of Philadelphia, Pennsylvania.
  • D. PIA
    PIA is the ICAO airline designator for Pakistan International Airlines, the national flag carrier of Pakistan.
  • E. Piikani
    Piikani are an Indigenous people of the Blackfoot Confederacy traditionally based in the northern Great Plains of North America.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8c1e9f88190b2b42326aba9d778 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4970df7cc81909c3b07ead58513e8 completed April 19, 2026, 8:49 a.m.
NEDg Description generation batch_69e49c09844881908e0d95ba3f239024 completed April 19, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69e49e7f8b108190bb69f532adf25809 completed April 19, 2026, 9:21 a.m.
Created at: April 8, 2026, 9:29 p.m.