Triple
T13068597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikki Haley |
E329393
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Rena Haley
Rena Haley is the daughter of former South Carolina governor and U.S. ambassador to the United Nations Nikki Haley.
|
E1021733
|
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: Rena Haley | Statement: [Nikki Haley, child, Rena Haley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rena Haley Context triple: [Nikki Haley, child, Rena Haley]
-
A.
Rebecca Calhoun
Rebecca Calhoun was the wife of American Revolutionary War general and South Carolina politician Andrew Pickens.
-
B.
Hillary Jordan
Hillary Jordan is an American novelist best known for her award-winning debut novel "Mudbound," a historical drama exploring race, family, and hardship in the Jim Crow-era Mississippi Delta.
-
C.
Holly Burrell
Holly Burrell is a professional chef and the wife of actor Ty Burrell, known for largely staying out of the spotlight while supporting his career and their family.
-
D.
Lauren Poultney
Lauren Poultney is a senior British police officer who serves as the Chief Constable of South Yorkshire Police.
-
E.
Laura Harrington
Laura Harrington is an American actress best known for her role in the 1986 Stephen King film "Maximum Overdrive."
- 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: Rena Haley Triple: [Nikki Haley, child, Rena Haley]
Generated description
Rena Haley is the daughter of former South Carolina governor and U.S. ambassador to the United Nations Nikki Haley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rena Haley Target entity description: Rena Haley is the daughter of former South Carolina governor and U.S. ambassador to the United Nations Nikki Haley.
-
A.
Rebecca Calhoun
Rebecca Calhoun was the wife of American Revolutionary War general and South Carolina politician Andrew Pickens.
-
B.
Hillary Jordan
Hillary Jordan is an American novelist best known for her award-winning debut novel "Mudbound," a historical drama exploring race, family, and hardship in the Jim Crow-era Mississippi Delta.
-
C.
Holly Burrell
Holly Burrell is a professional chef and the wife of actor Ty Burrell, known for largely staying out of the spotlight while supporting his career and their family.
-
D.
Lauren Poultney
Lauren Poultney is a senior British police officer who serves as the Chief Constable of South Yorkshire Police.
-
E.
Laura Harrington
Laura Harrington is an American actress best known for her role in the 1986 Stephen King film "Maximum Overdrive."
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980ec8ba48190baf52c7823482680 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e26e5d6881908663444bca67b01e |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e32bf5508190b4dc58971f8f64d0 |
completed | May 3, 2026, 5:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e40a13c8819084daf9b77b46a181 |
completed | May 3, 2026, 5:58 a.m. |
Created at: April 9, 2026, 9 p.m.