Triple
T6296644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beau Flynn |
E141146
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Two Night Stand
Two Night Stand is a 2014 romantic comedy film about a one-night stand that turns complicated when a snowstorm traps the two strangers together in an apartment.
|
E584060
|
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: Two Night Stand | Statement: [Beau Flynn, notableWork, Two Night Stand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Two Night Stand Context triple: [Beau Flynn, notableWork, Two Night Stand]
-
A.
One Nite Stand
One Nite Stand is a hip hop/R&B track by rapper Father MC, known for its smooth, romantic style typical of early 1990s urban music.
-
B.
Another Night
"Another Night" is a song featured on the album "What About Me."
-
C.
One Night of Love
One Night of Love is a 1934 American romantic musical film starring Grace Moore that became notable for its operatic performances and critical acclaim.
-
D.
One Night Only
"One Night Only" is a popular song from the Broadway musical and film "Dreamgirls," composed by Henry Krieger and known for its powerful, soulful vocal performances.
-
E.
We Own the Night
We Own the Night is a 2007 American crime drama film about a New York City nightclub manager caught between his family of police officers and the Russian mob.
- 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: Two Night Stand Triple: [Beau Flynn, notableWork, Two Night Stand]
Generated description
Two Night Stand is a 2014 romantic comedy film about a one-night stand that turns complicated when a snowstorm traps the two strangers together in an apartment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Two Night Stand Target entity description: Two Night Stand is a 2014 romantic comedy film about a one-night stand that turns complicated when a snowstorm traps the two strangers together in an apartment.
-
A.
One Nite Stand
One Nite Stand is a hip hop/R&B track by rapper Father MC, known for its smooth, romantic style typical of early 1990s urban music.
-
B.
Another Night
"Another Night" is a song featured on the album "What About Me."
-
C.
One Night of Love
One Night of Love is a 1934 American romantic musical film starring Grace Moore that became notable for its operatic performances and critical acclaim.
-
D.
One Night Only
"One Night Only" is a popular song from the Broadway musical and film "Dreamgirls," composed by Henry Krieger and known for its powerful, soulful vocal performances.
-
E.
We Own the Night
We Own the Night is a 2007 American crime drama film about a New York City nightclub manager caught between his family of police officers and the Russian mob.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0643ac2b48190b2db036ce709e7ea |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e427de4481909f1cad8fae93bc42 |
completed | March 27, 2026, 1:58 a.m. |
| NEDg | Description generation | batch_69c5e67fc1688190ab339960d656708d |
completed | March 27, 2026, 2:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5e6e40c588190898ad952b71e5b11 |
completed | March 27, 2026, 2:09 a.m. |
Created at: March 22, 2026, 4:27 p.m.