Triple
T15311812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How to Lose a Guy in 10 Days |
E366055
|
entity |
| Predicate | basedOnWorkBy |
P2806
|
FINISHED |
| Object |
Jeannie Long
Jeannie Long is an author whose work served as the basis for the romantic comedy film "How to Lose a Guy in 10 Days."
|
E1150730
|
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: Jeannie Long | Statement: [How to Lose a Guy in 10 Days, basedOnWorkBy, Jeannie Long]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeannie Long Context triple: [How to Lose a Guy in 10 Days, basedOnWorkBy, Jeannie Long]
-
A.
Wendy Long
Wendy Long is an American attorney and conservative political figure who was the Republican nominee in New York’s 2012 U.S. Senate race against incumbent Kirsten Gillibrand.
-
B.
Jeannie Sterrett
Jeannie Sterrett is best known as the wife of American adult film actor Harry Reems.
-
C.
Jeannie Bare
Jeannie Bare is the wife of American country music singer and songwriter Bobby Bare.
-
D.
Lee Anne Callahan-Longo
Lee Anne Callahan-Longo is a television and film producer best known for her work on high-profile music-related projects, including collaborations with Beyoncé.
-
E.
Jeanie Drynan
Jeanie Drynan is an Australian actress best known for her film and television work, including a prominent role in the acclaimed comedy-drama "Muriel's Wedding."
- 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: Jeannie Long Triple: [How to Lose a Guy in 10 Days, basedOnWorkBy, Jeannie Long]
Generated description
Jeannie Long is an author whose work served as the basis for the romantic comedy film "How to Lose a Guy in 10 Days."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeannie Long Target entity description: Jeannie Long is an author whose work served as the basis for the romantic comedy film "How to Lose a Guy in 10 Days."
-
A.
Wendy Long
Wendy Long is an American attorney and conservative political figure who was the Republican nominee in New York’s 2012 U.S. Senate race against incumbent Kirsten Gillibrand.
-
B.
Jeannie Sterrett
Jeannie Sterrett is best known as the wife of American adult film actor Harry Reems.
-
C.
Jeannie Bare
Jeannie Bare is the wife of American country music singer and songwriter Bobby Bare.
-
D.
Lee Anne Callahan-Longo
Lee Anne Callahan-Longo is a television and film producer best known for her work on high-profile music-related projects, including collaborations with Beyoncé.
-
E.
Jeanie Drynan
Jeanie Drynan is an Australian actress best known for her film and television work, including a prominent role in the acclaimed comedy-drama "Muriel's Wedding."
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd2d5a88190aead748920f93d47 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8a3da3881909b50cfbec0543adc |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fefdb82b2081908084a12a58ad3477 |
completed | May 9, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefe6c42708190bd893885fc5bc88e |
completed | May 9, 2026, 9:29 a.m. |
Created at: April 10, 2026, 3:16 a.m.