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.