Triple
T1607215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marla Maples |
E34532
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Maples
Maples is the surname of Marla Maples, an American actress and television personality best known as the second wife of former U.S. President Donald Trump.
|
E181994
|
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: Maples | Statement: [Marla Maples, familyName, Maples]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maples Context triple: [Marla Maples, familyName, Maples]
-
A.
Sycamores
Sycamores is the nickname for Indiana State University's men's basketball team, known for its collegiate competition in NCAA Division I.
-
B.
Sugar maple
The sugar maple is a large, long-lived North American hardwood tree renowned for its brilliant fall foliage and as the primary source of maple syrup.
-
C.
Mountain Ash
Mountain Ash is a former coal-mining town and community in the Cynon Valley of Rhondda Cynon Taf, South Wales.
-
D.
Woodberry
Woodberry is a residential suburb located within the Maitland local government area in the Hunter Region of New South Wales, Australia.
-
E.
Pollock Pines
Pollock Pines is a small mountain community in the Sierra Nevada region of California, known as a gateway to outdoor recreation near Lake Tahoe and the Eldorado National Forest.
- 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: Maples Triple: [Marla Maples, familyName, Maples]
Generated description
Maples is the surname of Marla Maples, an American actress and television personality best known as the second wife of former U.S. President Donald Trump.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maples Target entity description: Maples is the surname of Marla Maples, an American actress and television personality best known as the second wife of former U.S. President Donald Trump.
-
A.
Sycamores
Sycamores is the nickname for Indiana State University's men's basketball team, known for its collegiate competition in NCAA Division I.
-
B.
Sugar maple
The sugar maple is a large, long-lived North American hardwood tree renowned for its brilliant fall foliage and as the primary source of maple syrup.
-
C.
Mountain Ash
Mountain Ash is a former coal-mining town and community in the Cynon Valley of Rhondda Cynon Taf, South Wales.
-
D.
Woodberry
Woodberry is a residential suburb located within the Maitland local government area in the Hunter Region of New South Wales, Australia.
-
E.
Pollock Pines
Pollock Pines is a small mountain community in the Sierra Nevada region of California, known as a gateway to outdoor recreation near Lake Tahoe and the Eldorado National Forest.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9096cd0b88190bac21b46c3ed453f |
completed | March 5, 2026, 4:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51bff1cc819082208a8a77fae631 |
completed | March 8, 2026, 10:38 a.m. |
| NEDg | Description generation | batch_69ad522beb488190b5157db37eb0da8e |
completed | March 8, 2026, 10:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad529de3dc819081c8ad3d7aa8bef8 |
completed | March 8, 2026, 10:42 a.m. |
Created at: March 4, 2026, 7:28 p.m.