Triple

T10470264
Position Surface form Disambiguated ID Type / Status
Subject The Sea Inside E246904 entity
Predicate productionCompany P490 FINISHED
Object Sogecine
Sogecine is a Spanish film production company known for backing acclaimed auteur-driven cinema, including works by director Alejandro Amenábar.
E864630 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: Sogecine | Statement: [The Sea Inside, productionCompany, Sogecine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sogecine
Context triple: [The Sea Inside, productionCompany, Sogecine]
  • A. Soco
    "Soco" is a hit Afrobeats single by Nigerian artist Wizkid, known for its infectious rhythm and for popularizing the Starboy collective sound.
  • B. Cosentia
    Cosentia is the ancient Latin name of the city now known as Cosenza in southern Italy, historically an important center of the Bruttii in Calabria.
  • C. Sospel
    Sospel is a historic village in southeastern France near the Italian border, known for its medieval architecture and picturesque setting in the Maritime Alps.
  • D. Promasens
    Promasens is a small Swiss municipality located in the canton of Fribourg within the Glâne District.
  • E. Socor
    Socor is a component or segment of the larger work or entity known as "No Long Thing."
  • 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: Sogecine
Triple: [The Sea Inside, productionCompany, Sogecine]
Generated description
Sogecine is a Spanish film production company known for backing acclaimed auteur-driven cinema, including works by director Alejandro Amenábar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sogecine
Target entity description: Sogecine is a Spanish film production company known for backing acclaimed auteur-driven cinema, including works by director Alejandro Amenábar.
  • A. Soco
    "Soco" is a hit Afrobeats single by Nigerian artist Wizkid, known for its infectious rhythm and for popularizing the Starboy collective sound.
  • B. Cosentia
    Cosentia is the ancient Latin name of the city now known as Cosenza in southern Italy, historically an important center of the Bruttii in Calabria.
  • C. Sospel
    Sospel is a historic village in southeastern France near the Italian border, known for its medieval architecture and picturesque setting in the Maritime Alps.
  • D. Promasens
    Promasens is a small Swiss municipality located in the canton of Fribourg within the Glâne District.
  • E. Socor
    Socor is a component or segment of the larger work or entity known as "No Long Thing."
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509305fec81908b1acd91ae1f875d completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89ffdfd988190a37b3444d096e678 completed April 10, 2026, 7 a.m.
NEDg Description generation batch_69d8a166404881909c28141fefea2936 completed April 10, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_69d8a2c550ac81908444c6abfe14698a completed April 10, 2026, 7:12 a.m.
Created at: April 6, 2026, 12:20 p.m.