Triple
T13970781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willard Scott |
E336055
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Paris Keena
Paris Keena is an American media professional best known as the longtime partner and later wife of famed NBC weatherman and television personality Willard Scott.
|
E1071123
|
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: Paris Keena | Statement: [Willard Scott, spouse, Paris Keena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paris Keena Context triple: [Willard Scott, spouse, Paris Keena]
-
A.
Sylla Petit
Sylla Petit is an individual member of the Petit family, known primarily through their association with this family lineage.
-
B.
Kaili Ledo
Kaili Ledo is a major Austronesian language variety spoken by the Kaili people of Central Sulawesi, Indonesia.
-
C.
Pia
Pia is a locality situated near the Agly River in southern France, known for its proximity to this waterway and its Mediterranean regional setting.
-
D.
Pia
Pia is a feminine given name used in various cultures, often derived from Latin meaning "pious" or "devout."
-
E.
Leven Rambin
Leven Rambin is an American actress known for her roles in films like "The Hunger Games" and "Percy Jackson: Sea of Monsters" as well as television series such as "Grey's Anatomy" and "Terminator: The Sarah Connor Chronicles."
- 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: Paris Keena Triple: [Willard Scott, spouse, Paris Keena]
Generated description
Paris Keena is an American media professional best known as the longtime partner and later wife of famed NBC weatherman and television personality Willard Scott.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paris Keena Target entity description: Paris Keena is an American media professional best known as the longtime partner and later wife of famed NBC weatherman and television personality Willard Scott.
-
A.
Sylla Petit
Sylla Petit is an individual member of the Petit family, known primarily through their association with this family lineage.
-
B.
Kaili Ledo
Kaili Ledo is a major Austronesian language variety spoken by the Kaili people of Central Sulawesi, Indonesia.
-
C.
Pia
Pia is a locality situated near the Agly River in southern France, known for its proximity to this waterway and its Mediterranean regional setting.
-
D.
Pia
Pia is a feminine given name used in various cultures, often derived from Latin meaning "pious" or "devout."
-
E.
Leven Rambin
Leven Rambin is an American actress known for her roles in films like "The Hunger Games" and "Percy Jackson: Sea of Monsters" as well as television series such as "Grey's Anatomy" and "Terminator: The Sarah Connor Chronicles."
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8eae40819080dd4bd25c73b6d6 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1dc838c8190bbcfefd69ea29965 |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba2b8e32081909cd32ed0bd255072 |
completed | May 6, 2026, 8:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba322460c81909aa36b661f39efcd |
completed | May 6, 2026, 8:22 p.m. |
Created at: April 9, 2026, 10:18 p.m.