Triple

T5642054
Position Surface form Disambiguated ID Type / Status
Subject Margot Robbie E124288 entity
Predicate notableWork P4 FINISHED
Object Focus
Focus is a 2015 romantic crime comedy-drama film starring Will Smith and Margot Robbie as con artists entangled in high-stakes schemes and a complicated relationship.
E537200 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: Focus | Statement: [Margot Robbie, notableWork, Focus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Focus
Context triple: [Margot Robbie, notableWork, Focus]
  • A. Focus
    "Focus" is a track from the album "Afrodisiac," known for its smooth R&B production and introspective lyrical themes.
  • B. In Focus
    In Focus is a political commentary and news analysis program that airs on the conservative cable channel One America News Network.
  • C. Attention
    "Attention" is a 2017 pop song by American singer-songwriter Charlie Puth, known for its catchy bassline, minimalist production, and themes of emotional manipulation in relationships.
  • D. Attention
    "Attention" is a track from The Weeknd’s 2016 album *Starboy*, showcasing his signature blend of moody R&B and atmospheric pop production.
  • E. InFocus
    InFocus is an American company best known for designing and manufacturing digital projectors and other display technologies.
  • 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: Focus
Triple: [Margot Robbie, notableWork, Focus]
Generated description
Focus is a 2015 romantic crime comedy-drama film starring Will Smith and Margot Robbie as con artists entangled in high-stakes schemes and a complicated relationship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Focus
Target entity description: Focus is a 2015 romantic crime comedy-drama film starring Will Smith and Margot Robbie as con artists entangled in high-stakes schemes and a complicated relationship.
  • A. Focus
    "Focus" is a track from the album "Afrodisiac," known for its smooth R&B production and introspective lyrical themes.
  • B. In Focus
    In Focus is a political commentary and news analysis program that airs on the conservative cable channel One America News Network.
  • C. Attention
    "Attention" is a 2017 pop song by American singer-songwriter Charlie Puth, known for its catchy bassline, minimalist production, and themes of emotional manipulation in relationships.
  • D. Attention
    "Attention" is a track from The Weeknd’s 2016 album *Starboy*, showcasing his signature blend of moody R&B and atmospheric pop production.
  • E. InFocus
    InFocus is an American company best known for designing and manufacturing digital projectors and other display technologies.
  • 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_69c00824643c81909ffdb888a2d35189 completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022a6a22881908d16f4df564ed2a2 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d7c98008190b79528596eca4208 completed March 22, 2026, 8:13 p.m.
NEDg Description generation batch_69c04edbf1f081908d74d0ac29601a35 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04f7e64c88190bbced2f2460c1913 completed March 22, 2026, 8:22 p.m.
Created at: March 22, 2026, 3:41 p.m.