Triple
T11680428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bed of Roses |
E277599
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Lewis Farrell
Lewis Farrell is the charming, commitment-averse florist who becomes the romantic lead in the film "Bed of Roses."
|
E951821
|
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: Lewis Farrell | Statement: [Bed of Roses, mainCharacter, Lewis Farrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lewis Farrell Context triple: [Bed of Roses, mainCharacter, Lewis Farrell]
-
A.
Chris Barwell
Chris Barwell is a film editor known for his work on the 2018 action-adventure movie "Robin Hood."
-
B.
Roy Farrell
Roy Farrell was an American entrepreneur and aviation pioneer best known for co-founding the Hong Kong-based airline Cathay Pacific in the mid-20th century.
-
C.
Sean Faris
Sean Faris is an American actor and model best known for his roles in films like "Never Back Down" and television series such as "Life As We Know It."
-
D.
Andre Fennell
Andre Fennell is a music producer known for his work on the track "Use Me."
-
E.
Lee Farr
Lee Farr was an American actor known for his work in film and television during the mid-20th century.
- 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: Lewis Farrell Triple: [Bed of Roses, mainCharacter, Lewis Farrell]
Generated description
Lewis Farrell is the charming, commitment-averse florist who becomes the romantic lead in the film "Bed of Roses."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lewis Farrell Target entity description: Lewis Farrell is the charming, commitment-averse florist who becomes the romantic lead in the film "Bed of Roses."
-
A.
Chris Barwell
Chris Barwell is a film editor known for his work on the 2018 action-adventure movie "Robin Hood."
-
B.
Roy Farrell
Roy Farrell was an American entrepreneur and aviation pioneer best known for co-founding the Hong Kong-based airline Cathay Pacific in the mid-20th century.
-
C.
Sean Faris
Sean Faris is an American actor and model best known for his roles in films like "Never Back Down" and television series such as "Life As We Know It."
-
D.
Andre Fennell
Andre Fennell is a music producer known for his work on the track "Use Me."
-
E.
Lee Farr
Lee Farr was an American actor known for his work in film and television during the mid-20th century.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a461b0908190bef4e1c6777affcf |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f280acab488190b1a912dc0e82bc44 |
completed | April 29, 2026, 10:05 p.m. |
| NEDg | Description generation | batch_69f2b8b73f28819089ac252f7f823efb |
completed | April 30, 2026, 2:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f2c4120f448190ac0ac944e77cb20e |
completed | April 30, 2026, 2:53 a.m. |
Created at: April 8, 2026, 9:40 p.m.