Triple
T837217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Ray |
E18094
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Rachel Ray
Rachael Ray is an American television personality, celebrity chef, and author best known for her quick and easy cooking style and shows like "30 Minute Meals."
|
E98694
|
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: Rachel Ray | Statement: [Rachel Ray, hasMainCharacter, Rachel Ray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Ray Context triple: [Rachel Ray, hasMainCharacter, Rachel Ray]
-
A.
Rachel Ray
"Rachel Ray" is a 19th-century novel by Anthony Trollope that explores themes of love, religious influence, and social pressure in a small English town.
-
B.
Sandra Lee
Sandra Lee is an American television chef and author known for her "Semi-Homemade" cooking concept and numerous Food Network shows.
-
C.
Padma Lakshmi
Padma Lakshmi is an Indian-American author, model, and television host best known for hosting the cooking competition show "Top Chef."
-
D.
Melissa Agretti
Melissa Agretti is a central, scheming heiress character from the 1980s American prime-time soap opera "Falcon Crest."
-
E.
Julie Soriero
Julie Soriero is a collegiate athletics administrator best known for serving as the Director of Athletics at the Massachusetts Institute of Technology (MIT).
- 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: Rachel Ray Triple: [Rachel Ray, hasMainCharacter, Rachel Ray]
Generated description
Rachael Ray is an American television personality, celebrity chef, and author best known for her quick and easy cooking style and shows like "30 Minute Meals."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rachel Ray Target entity description: Rachael Ray is an American television personality, celebrity chef, and author best known for her quick and easy cooking style and shows like "30 Minute Meals."
-
A.
Rachel Ray
"Rachel Ray" is a 19th-century novel by Anthony Trollope that explores themes of love, religious influence, and social pressure in a small English town.
-
B.
Sandra Lee
Sandra Lee is an American television chef and author known for her "Semi-Homemade" cooking concept and numerous Food Network shows.
-
C.
Padma Lakshmi
Padma Lakshmi is an Indian-American author, model, and television host best known for hosting the cooking competition show "Top Chef."
-
D.
Melissa Agretti
Melissa Agretti is a central, scheming heiress character from the 1980s American prime-time soap opera "Falcon Crest."
-
E.
Julie Soriero
Julie Soriero is a collegiate athletics administrator best known for serving as the Director of Athletics at the Massachusetts Institute of Technology (MIT).
- 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abcf69888190b342363978273ae2 |
completed | March 1, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d9cddb48190b0d297c2cc9f3b3c |
completed | March 3, 2026, 11:24 p.m. |
| NEDg | Description generation | batch_69a78e21f4ec81909bd9904554eb3f3f |
completed | March 4, 2026, 1:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a78ea8b5e481908aac07fe90017986 |
completed | March 4, 2026, 1:45 a.m. |
Created at: March 1, 2026, 7:38 p.m.