Triple
T6322929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lara Lea Yunaska |
E141786
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Marla Maples |
E34532
|
NE FINISHED |
How this triple was built (2 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: Marla Maples | Statement: [Lara Lea Yunaska, relative, Marla Maples]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marla Maples Context triple: [Lara Lea Yunaska, relative, Marla Maples]
-
A.
Marla Maples
chosen
Marla Maples is an American actress and television personality best known for her high-profile marriage to businessman and future U.S. President Donald Trump in the 1990s.
-
B.
Marge Thompson
Marge Thompson is a character in the horror film "A Nightmare on Elm Street," known as Nancy Thompson’s troubled mother who hides dark secrets about Freddy Krueger’s past.
-
C.
Gail Bartlett
Gail Bartlett is known as the wife of former Dallas mayor and U.S. Congressman Steve Bartlett.
-
D.
Melissa Rivers
Melissa Rivers is an American television host, producer, and actress best known for her red carpet coverage and for continuing the comedic legacy of her mother, Joan Rivers.
-
E.
Lindy Robbins
Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064e38f1c81909c7e90b520602bae |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c63862698c8190a23f9f228a7cc8a7 |
completed | March 27, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:29 p.m.