Triple
T18164370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Clancy |
E434850
|
entity |
| Predicate | hasSpouse |
P13
|
FINISHED |
| Object |
Wanda King
Wanda King is best known as the wife of bestselling American techno-thriller author Tom Clancy.
|
E1309432
|
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: Wanda King | Statement: [Tom Clancy, hasSpouse, Wanda King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wanda King Context triple: [Tom Clancy, hasSpouse, Wanda King]
-
A.
Wanda Frank
Wanda Frank is an alternate alias of the Marvel Comics character Scarlet Witch, a powerful mutant sorceress known for her reality-warping abilities and complex role within the Avengers and X-Men mythos.
-
B.
Wanda Muir
Wanda Muir was the daughter of naturalist and conservationist John Muir, known primarily for her connection to his legacy.
-
C.
Nina King
Nina King is an American college athletics administrator who serves as the athletic director at Duke University, overseeing the university’s sports programs.
-
D.
Marlene King
Marlene King is an American television writer and producer best known as the creator and showrunner of the teen mystery-drama series "Pretty Little Liars."
-
E.
Adrienne King
Adrienne King is an American actress best known for playing final girl Alice Hardy in the original 1980 slasher film "Friday the 13th."
- 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: Wanda King Triple: [Tom Clancy, hasSpouse, Wanda King]
Generated description
Wanda King is best known as the wife of bestselling American techno-thriller author Tom Clancy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wanda King Target entity description: Wanda King is best known as the wife of bestselling American techno-thriller author Tom Clancy.
-
A.
Wanda Frank
Wanda Frank is an alternate alias of the Marvel Comics character Scarlet Witch, a powerful mutant sorceress known for her reality-warping abilities and complex role within the Avengers and X-Men mythos.
-
B.
Wanda Muir
Wanda Muir was the daughter of naturalist and conservationist John Muir, known primarily for her connection to his legacy.
-
C.
Nina King
Nina King is an American college athletics administrator who serves as the athletic director at Duke University, overseeing the university’s sports programs.
-
D.
Marlene King
Marlene King is an American television writer and producer best known as the creator and showrunner of the teen mystery-drama series "Pretty Little Liars."
-
E.
Adrienne King
Adrienne King is an American actress best known for playing final girl Alice Hardy in the original 1980 slasher film "Friday the 13th."
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec55a088190868ee0b0a310fefb |
completed | April 19, 2026, 1:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a038fc25f248190a9ac02acf968069f |
completed | May 12, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_6a03908bd80081909f993408c7d2c96b |
completed | May 12, 2026, 8:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0390ebaed08190aea8a646e07cb1c4 |
completed | May 12, 2026, 8:43 p.m. |
Created at: April 10, 2026, 10:30 a.m.