Triple
T4626532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rum Diary |
E101110
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Chenault
Chenault is a free-spirited, alluring young woman who becomes the love interest of journalist Paul Kemp in Hunter S. Thompson’s novel (and film adaptation) *The Rum Diary*.
|
E461688
|
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: Chenault | Statement: [The Rum Diary, character, Chenault]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chenault Context triple: [The Rum Diary, character, Chenault]
-
A.
Nantz
Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
-
B.
Doncieux
Doncieux is a French surname most notably associated with Camille Doncieux, the first wife and frequent model of painter Claude Monet.
-
C.
Bressant
Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
-
D.
Ozanne
Ozanne is a river in France that serves as a right-bank tributary of the Loir.
-
E.
Chorin
Chorin is a small village in northeastern Germany known for its medieval Cistercian monastery and scenic natural surroundings.
- 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: Chenault Triple: [The Rum Diary, character, Chenault]
Generated description
Chenault is a free-spirited, alluring young woman who becomes the love interest of journalist Paul Kemp in Hunter S. Thompson’s novel (and film adaptation) *The Rum Diary*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chenault Target entity description: Chenault is a free-spirited, alluring young woman who becomes the love interest of journalist Paul Kemp in Hunter S. Thompson’s novel (and film adaptation) *The Rum Diary*.
-
A.
Nantz
Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
-
B.
Doncieux
Doncieux is a French surname most notably associated with Camille Doncieux, the first wife and frequent model of painter Claude Monet.
-
C.
Bressant
Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
-
D.
Ozanne
Ozanne is a river in France that serves as a right-bank tributary of the Loir.
-
E.
Chorin
Chorin is a small village in northeastern Germany known for its medieval Cistercian monastery and scenic natural surroundings.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a0a7b588190bc6552ee5babb198 |
completed | March 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be0360f7548190b4d1c2e0e53985e8 |
completed | March 21, 2026, 2:33 a.m. |
| NEDg | Description generation | batch_69be0440e7c881908743b7af9b2fa347 |
completed | March 21, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be04e0f1b08190b3e617150e34648c |
completed | March 21, 2026, 2:39 a.m. |
Created at: March 20, 2026, 1:13 p.m.