Triple
T6228898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elliot Page |
E139302
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Smart People
Smart People is a 2008 comedy-drama film about a widowed, self-absorbed literature professor whose life is upended by unexpected family and romantic developments.
|
E578372
|
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: Smart People | Statement: [Elliot Page, notableWork, Smart People]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smart People Context triple: [Elliot Page, notableWork, Smart People]
-
A.
Get Smart
Get Smart is a 2008 action-comedy film adaptation of the classic TV series, starring Steve Carell as an inept secret agent alongside Anne Hathaway.
-
B.
Among People
Among People is an alternative title for the film "In the World."
-
C.
Genius Loves Company
Genius Loves Company is a Grammy-winning 2004 duets album by Ray Charles featuring collaborations with numerous prominent artists across jazz, soul, and pop.
-
D.
The Satisfied People
"The Satisfied People" is a film featuring Russian actress Svetlana Khodchenkova in a notable role.
-
E.
Happy People
"Happy People" is an upbeat R&B song by R. Kelly known for its feel-good, dance-oriented vibe and popularity at parties and celebrations.
- 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: Smart People Triple: [Elliot Page, notableWork, Smart People]
Generated description
Smart People is a 2008 comedy-drama film about a widowed, self-absorbed literature professor whose life is upended by unexpected family and romantic developments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Smart People Target entity description: Smart People is a 2008 comedy-drama film about a widowed, self-absorbed literature professor whose life is upended by unexpected family and romantic developments.
-
A.
Get Smart
Get Smart is a 2008 action-comedy film adaptation of the classic TV series, starring Steve Carell as an inept secret agent alongside Anne Hathaway.
-
B.
Among People
Among People is an alternative title for the film "In the World."
-
C.
Genius Loves Company
Genius Loves Company is a Grammy-winning 2004 duets album by Ray Charles featuring collaborations with numerous prominent artists across jazz, soul, and pop.
-
D.
The Satisfied People
"The Satisfied People" is a film featuring Russian actress Svetlana Khodchenkova in a notable role.
-
E.
Happy People
"Happy People" is an upbeat R&B song by R. Kelly known for its feel-good, dance-oriented vibe and popularity at parties and celebrations.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062d841a88190b67a8045cdaadf44 |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20de16d988190acdec1deba75e06e |
completed | March 24, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69c2141927288190bad4ec024997a45e |
completed | March 24, 2026, 4:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c214d7f2d08190bd6dab4da08c97dc |
completed | March 24, 2026, 4:36 a.m. |
Created at: March 22, 2026, 4:22 p.m.