Triple

T15973504
Position Surface form Disambiguated ID Type / Status
Subject Glu Mobile E387380 entity
Predicate formerName P65 FINISHED
Object Sorrent
Sorrent was a mobile game developer and publisher that later became known as Glu Mobile.
 E1207083 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: Sorrent | Statement: [Glu Mobile, formerName, Sorrent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sorrent
Context triple: [Glu Mobile, formerName, Sorrent]
  • A. Sorrento
    Sorrento is a picturesque coastal town in southern Italy overlooking the Bay of Naples, renowned for its dramatic cliffs, lemon groves, and role as a historic retreat for writers and artists.
  • B. Sorrento
    Sorrento is a residential suburb on the Gold Coast in Queensland, Australia, known for its canal-front homes along the Nerang River.
  • C. Calasetta
    Calasetta is a coastal town on the Italian island of Sardinia known for its Ligurian cultural roots and use of the Tabarchino dialect.
  • D. Sarno
    Sarno is a town in Italy’s Campania region, located near Mount Vesuvius and known as an endpoint of the Circumvesuviana railway network.
  • E. Amalfi
    Amalfi is a historic coastal town in southern Italy’s Campania region, famed as a former powerful maritime republic and now a popular tourist destination on the Amalfi Coast.
  • 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: Sorrent
Triple: [Glu Mobile, formerName, Sorrent]
Generated description
Sorrent was a mobile game developer and publisher that later became known as Glu Mobile.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sorrent
Target entity description: Sorrent was a mobile game developer and publisher that later became known as Glu Mobile.
  • A. Sorrento
    Sorrento is a picturesque coastal town in southern Italy overlooking the Bay of Naples, renowned for its dramatic cliffs, lemon groves, and role as a historic retreat for writers and artists.
  • B. Sorrento
    Sorrento is a residential suburb on the Gold Coast in Queensland, Australia, known for its canal-front homes along the Nerang River.
  • C. Calasetta
    Calasetta is a coastal town on the Italian island of Sardinia known for its Ligurian cultural roots and use of the Tabarchino dialect.
  • D. Sarno
    Sarno is a town in Italy’s Campania region, located near Mount Vesuvius and known as an endpoint of the Circumvesuviana railway network.
  • E. Amalfi
    Amalfi is a historic coastal town in southern Italy’s Campania region, famed as a former powerful maritime republic and now a popular tourist destination on the Amalfi Coast.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572b667c8190b28d0556e45422bb completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025ec39a8819081c0cf996bc59416 completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a00280686f881909cd2330c018a7e8d completed May 10, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_6a00285ad1a08190961fdef3f3f991fa completed May 10, 2026, 6:40 a.m.
Created at: April 10, 2026, 4:54 a.m.