Triple

T24022528
Position Surface form Disambiguated ID Type / Status
Subject Emily in Paris E594863 entity
Predicate productionCompany P490 FINISHED
Object MTV Entertainment Studios
MTV Entertainment Studios is a television and film production company under Paramount that develops and produces scripted and unscripted content for MTV and related platforms.
E278039 NE FINISHED

How this triple was built (2 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: MTV Entertainment Studios | Statement: [Emily in Paris, productionCompany, MTV Entertainment Studios]
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: MTV Entertainment Studios
Triple: [Emily in Paris, productionCompany, MTV Entertainment Studios]
Generated description
MTV Entertainment Studios is a television and film production company under Paramount that develops and produces scripted and unscripted content for MTV and related platforms.

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_69e288be2c288190a3a46006945557f7 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d7667ff08190bfd14aa4eb776f21 completed April 29, 2026, 10:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7ea5d23c8190b911c1c063668bdf completed May 21, 2026, 9:52 p.m.
NEDg Description generation batch_6a0f7f4ef5e88190b53cdf7135b28cac completed May 21, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0f7fe13a2481908644e45e96abacce completed May 21, 2026, 9:57 p.m.
Created at: April 17, 2026, 9:52 p.m.