Triple
T12391778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Single White Female |
E296010
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object |
SWF Seeks Same
"SWF Seeks Same" is a 1990 thriller novel by John Lutz about a woman whose new roommate becomes dangerously obsessed with her, inspiring the film "Single White Female."
|
E982777
|
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: SWF Seeks Same | Statement: [Single White Female, basedOn, SWF Seeks Same]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SWF Seeks Same Context triple: [Single White Female, basedOn, SWF Seeks Same]
-
A.
SWF
SWF is the IATA airport code for Stewart International Airport, a public airport located near Newburgh in New York's Hudson Valley.
-
B.
SWFC
SWFC is the commonly used abbreviation for Sheffield Wednesday Football Club, a professional football team based in Sheffield, England.
-
C.
SWR
SWR is the three-letter airline designator used by Swiss International Air Lines in aviation operations and scheduling.
-
D.
SWR
SWR is the National Rail station code for St Werburgh's Road railway station in Manchester, England.
-
E.
SWI
SWI is the FAA location identifier for Sherman Municipal Airport, a public airport serving Sherman, Texas.
- 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: SWF Seeks Same Triple: [Single White Female, basedOn, SWF Seeks Same]
Generated description
"SWF Seeks Same" is a 1990 thriller novel by John Lutz about a woman whose new roommate becomes dangerously obsessed with her, inspiring the film "Single White Female."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SWF Seeks Same Target entity description: "SWF Seeks Same" is a 1990 thriller novel by John Lutz about a woman whose new roommate becomes dangerously obsessed with her, inspiring the film "Single White Female."
-
A.
SWF
SWF is the IATA airport code for Stewart International Airport, a public airport located near Newburgh in New York's Hudson Valley.
-
B.
SWFC
SWFC is the commonly used abbreviation for Sheffield Wednesday Football Club, a professional football team based in Sheffield, England.
-
C.
SWR
SWR is the three-letter airline designator used by Swiss International Air Lines in aviation operations and scheduling.
-
D.
SWR
SWR is the National Rail station code for St Werburgh's Road railway station in Manchester, England.
-
E.
SWI
SWI is the stock ticker symbol for SolarWinds Corporation, a company known for developing IT infrastructure and network management software.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd0bcc48190bb1a59a3aaa6bfdf |
completed | April 10, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6347c239881909a031e9e195080c9 |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f63674aa3c81908ba82a9d246b3b3a |
completed | May 2, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f63a9b32fc8190ab98492ff91d2a66 |
completed | May 2, 2026, 5:55 p.m. |
Created at: April 8, 2026, 9:54 p.m.