Triple

T22257177
Position Surface form Disambiguated ID Type / Status
Subject Friendly Fires E550122 entity
Predicate hasMusicVideoFor P3287 FINISHED
Object Paris
"Paris" is a song by the English indie band Friendly Fires, known for its danceable indie-pop sound and atmospheric, nostalgic vibe.
E1530304 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: Paris | Statement: [Friendly Fires, hasMusicVideoFor, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [Friendly Fires, hasMusicVideoFor, Paris]
  • A. Paris chosen
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • B. Paris
    Paris is a prince of Troy in Greek mythology, best known for judging the beauty contest of the goddesses and for abducting Helen, which sparked the Trojan War.
  • C. Paris
    Paris is an American hip hop artist and producer known for his politically charged, socially conscious lyrics and militant themes.
  • D. Paris
    Paris is a major Chilean department store and retail chain offering a wide range of apparel, home goods, and consumer products.
  • E. Paris
    Paris is a budget-oriented AMD Sempron processor core designed for entry-level desktop computing.
  • F. None of above.
  • 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: Paris
Triple: [Friendly Fires, hasMusicVideoFor, Paris]
Generated description
"Paris" is a song by the English indie band Friendly Fires, known for its danceable indie-pop sound and atmospheric, nostalgic vibe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Paris
Target entity description: "Paris" is a song by the English indie band Friendly Fires, known for its danceable indie-pop sound and atmospheric, nostalgic vibe.
  • A. Paris chosen
    "Paris" is an indie dance track by British band Friendly Fires, known for its shimmering synths, upbeat rhythm, and evocative lyrics about escape and longing.
  • B. Paris
    "Paris" is a hit electronic-pop single by The Chainsmokers, known for its nostalgic lyrics and mellow, atmospheric production.
  • C. Paris
    "Paris" is a 2017 electronic dance music single by The Chainsmokers that became a major international hit.
  • D. Paris
    Paris is an American hip hop artist and producer known for his politically charged, socially conscious lyrics and militant themes.
  • E. Paris
    Paris is a 1928 Broadway musical comedy with music and lyrics by Cole Porter that helped establish his reputation as a leading American songwriter.
  • F. None of above.

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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c3cf64819087e270a1f50e629e completed April 28, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ad50bfbe08190825f6f6f9cd41d94 completed May 18, 2026, 8:59 a.m.
NEDg Description generation batch_6a0ad991a1e48190ad240a20694223fc completed May 18, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0ada2a61b881908a636b2d1d6e4509 completed May 18, 2026, 9:21 a.m.
Created at: April 16, 2026, 8:39 p.m.