Triple
T15685606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rayford Young |
E380189
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Candice Young
Candice Young is the wife of Rayford Young, known primarily in relation to his public and professional life.
|
E1225559
|
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: Candice Young | Statement: [Rayford Young, spouse, Candice Young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Candice Young Context triple: [Rayford Young, spouse, Candice Young]
-
A.
Candace Young
Candace Young is a central, scheming yet complex character in Tyler Perry’s drama series "The Haves and the Have Nots," known for her ambition, manipulation, and troubled personal life.
-
B.
Candice Crawford
Candice Crawford is an American former beauty queen and television sports reporter who is married to former NFL quarterback Tony Romo.
-
C.
Candice Clark
Candice Clark is an American former slalom canoeist and the ex-wife of Apple co-founder Steve Wozniak.
-
D.
Candice Dupree
Candice Dupree is an American professional basketball player and WNBA All-Star forward known for her scoring efficiency, versatility, and longevity in the league.
-
E.
Candice Roman
Candice Roman is an actress known for appearing in exploitation and cult films, including roles in 1970s genre cinema.
- 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: Candice Young Triple: [Rayford Young, spouse, Candice Young]
Generated description
Candice Young is the wife of Rayford Young, known primarily in relation to his public and professional life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Candice Young Target entity description: Candice Young is the wife of Rayford Young, known primarily in relation to his public and professional life.
-
A.
Candace Young
Candace Young is a central, scheming yet complex character in Tyler Perry’s drama series "The Haves and the Have Nots," known for her ambition, manipulation, and troubled personal life.
-
B.
Candice Crawford
Candice Crawford is an American former beauty queen and television sports reporter who is married to former NFL quarterback Tony Romo.
-
C.
Candice Clark
Candice Clark is an American former slalom canoeist and the ex-wife of Apple co-founder Steve Wozniak.
-
D.
Candice Dupree
Candice Dupree is an American professional basketball player and WNBA All-Star forward known for her scoring efficiency, versatility, and longevity in the league.
-
E.
Candice Roman
Candice Roman is an actress known for appearing in exploitation and cult films, including roles in 1970s genre cinema.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4b73d881908ec0f21393a01969 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084a6d6308190ad57a51b380171a2 |
completed | May 10, 2026, 1:14 p.m. |
| NEDg | Description generation | batch_6a00851cc9a08190a587bd5951e4d5e0 |
completed | May 10, 2026, 1:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0085e4b6ec81908383085ff08f0dce |
completed | May 10, 2026, 1:19 p.m. |
Created at: April 10, 2026, 4:44 a.m.