Triple
T6270896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Day Late and a Dollar Short |
E140530
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Janelle Price
Janelle Price is a central fictional character in Terry McMillan’s novel "A Day Late and a Dollar Short," involved in the complex dynamics of the Price family.
|
E583420
|
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: Janelle Price | Statement: [A Day Late and a Dollar Short, featuresCharacter, Janelle Price]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janelle Price Context triple: [A Day Late and a Dollar Short, featuresCharacter, Janelle Price]
-
A.
Janelle Lacey
Janelle Lacey is known as the former wife of American actor Richard Dreyfuss.
-
B.
Janelle McDonald
Janelle McDonald is an American gymnastics coach best known for leading the UCLA Bruins women's gymnastics program.
-
C.
Jolene Parker
Jolene Parker is a fictional character portrayed by actress Rachel Brosnahan.
-
D.
Julianne Smith
Julianne Smith is an American diplomat and foreign policy expert who serves as the United States Ambassador to the North Atlantic Treaty Organization (NATO).
-
E.
Nicole Willis
Nicole Willis is a central character in the thriller film "Mindhunters," portrayed as one of the FBI profiler trainees trapped on a remote island during a deadly training exercise.
- 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: Janelle Price Triple: [A Day Late and a Dollar Short, featuresCharacter, Janelle Price]
Generated description
Janelle Price is a central fictional character in Terry McMillan’s novel "A Day Late and a Dollar Short," involved in the complex dynamics of the Price family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Janelle Price Target entity description: Janelle Price is a central fictional character in Terry McMillan’s novel "A Day Late and a Dollar Short," involved in the complex dynamics of the Price family.
-
A.
Janelle Lacey
Janelle Lacey is known as the former wife of American actor Richard Dreyfuss.
-
B.
Janelle McDonald
Janelle McDonald is an American gymnastics coach best known for leading the UCLA Bruins women's gymnastics program.
-
C.
Jolene Parker
Jolene Parker is a fictional character portrayed by actress Rachel Brosnahan.
-
D.
Julianne Smith
Julianne Smith is an American diplomat and foreign policy expert who serves as the United States Ambassador to the North Atlantic Treaty Organization (NATO).
-
E.
Nicole Willis
Nicole Willis is a central character in the thriller film "Mindhunters," portrayed as one of the FBI profiler trainees trapped on a remote island during a deadly training exercise.
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063bb340c8190ab81b249cefa91ca |
completed | March 22, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e4003018819087961018dc153a91 |
completed | March 27, 2026, 1:57 a.m. |
| NEDg | Description generation | batch_69c5e4ca9c408190a580ac1e6cb1ef74 |
completed | March 27, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5e53f83708190adcd7a3decbd182b |
completed | March 27, 2026, 2:02 a.m. |
Created at: March 22, 2026, 4:25 p.m.