Triple
T15025322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristen Mary Houghton |
E378196
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object |
Mary
Mary is the middle name of Kristen Mary Houghton, better known as Kris Jenner, the American television personality and matriarch of the Kardashian–Jenner family.
|
E1134336
|
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: Mary | Statement: [Kristen Mary Houghton, middleName, Mary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Context triple: [Kristen Mary Houghton, middleName, Mary]
-
A.
Mary
Mary is the middle name of Edith Tolkien, the wife of author J.R.R. Tolkien.
-
B.
Mary
Mary is the birth name of American actress, comedian, and writer Lily Tomlin, known for her groundbreaking work in television, film, and theater.
-
C.
Mary
Mary is the central character of the film "Precious," a harshly abusive mother whose behavior profoundly shapes her daughter's traumatic life.
-
D.
Mary
Mary is the given first name of Eugenia Charles, the pioneering former Prime Minister of Dominica and one of the Caribbean’s most prominent female political leaders.
-
E.
Mary
Mary is a film featuring Italian actor Marco Leonardi, known for his roles in internationally acclaimed cinema.
- 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: Mary Triple: [Kristen Mary Houghton, middleName, Mary]
Generated description
Mary is the middle name of Kristen Mary Houghton, better known as Kris Jenner, the American television personality and matriarch of the Kardashian–Jenner family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Target entity description: Mary is the middle name of Kristen Mary Houghton, better known as Kris Jenner, the American television personality and matriarch of the Kardashian–Jenner family.
-
A.
Mary
Mary is the middle name of Katherine Mary Dewar, a component of her full personal name.
-
B.
Mary
Mary is the given first name of American actress, author, and radio host Marilu Henner.
-
C.
Mary
Mary is the birth name of American model and actress Lauren Hutton, a pioneering figure in fashion known for her gap-toothed smile and influential modeling career.
-
D.
Mary
Mary is the given name of Mary J. Blige, the acclaimed American singer, songwriter, and actress often called the "Queen of Hip-Hop Soul."
-
E.
Mary
Mary is the birth name of American actress, singer, and dancer Debbie Reynolds, a major Hollywood star of the mid-20th century.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7dfcb508190aec8cd667e27a8ea |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd499108190b803c6afc0fa00bc |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fea09ea0e081908daed335c734c8c0 |
completed | May 9, 2026, 2:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea0fd72508190a413f5bb07d1df28 |
completed | May 9, 2026, 2:50 a.m. |
Created at: April 10, 2026, 2:57 a.m.