Triple

T10622143
Position Surface form Disambiguated ID Type / Status
Subject Middle Child E250226 entity
Predicate musicVideoDirector P4911 FINISHED
Object Mez
Mez is a music video director known for collaborating with artists like Middle Child to create visually engaging and narrative-driven videos.
 E875680 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: Mez | Statement: [Middle Child, musicVideoDirector, Mez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mez
Context triple: [Middle Child, musicVideoDirector, Mez]
  • A. Mosta
    Mosta is a town in central Malta best known for its impressive Rotunda church, which has one of the largest unsupported domes in the world.
  • B. Kaloum
    Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
  • C. Meyr
    Meyr is a surname variant of Meier, a common German family name with roots in occupational and administrative titles.
  • D. Tissi
    Tissi is a small municipality in the Sardinia region of Italy, located in the province of Sassari.
  • E. Yafran
    Yafran is a town in western Libya situated in the Nafusa Mountains, known for its Berber heritage and strategic highland location.
  • 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: Mez
Triple: [Middle Child, musicVideoDirector, Mez]
Generated description
Mez is a music video director known for collaborating with artists like Middle Child to create visually engaging and narrative-driven videos.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mez
Target entity description: Mez is a music video director known for collaborating with artists like Middle Child to create visually engaging and narrative-driven videos.
  • A. Mosta
    Mosta is a town in central Malta best known for its impressive Rotunda church, which has one of the largest unsupported domes in the world.
  • B. Kaloum
    Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
  • C. Meyr
    Meyr is a surname variant of Meier, a common German family name with roots in occupational and administrative titles.
  • D. Tissi
    Tissi is a small municipality in the Sardinia region of Italy, located in the province of Sassari.
  • E. Yafran
    Yafran is a town in western Libya situated in the Nafusa Mountains, known for its Berber heritage and strategic highland location.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df7e5074819096668b53dcc9167a completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b908e788190bc9e4f327e871a7f completed April 10, 2026, 9:28 p.m.
NEDg Description generation batch_69d96def8bfc81909d6a5addf724691b completed April 10, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69d96fedb18881908570593856f4aade completed April 10, 2026, 9:47 p.m.
Created at: April 8, 2026, 8:50 p.m.