Triple
T16242666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexis Stewart |
E394291
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Truman Stewart
Truman Stewart is the daughter of television host and media personality Alexis Stewart and the granddaughter of lifestyle mogul Martha Stewart.
|
E1203193
|
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: Truman Stewart | Statement: [Alexis Stewart, hasChild, Truman Stewart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Truman Stewart Context triple: [Alexis Stewart, hasChild, Truman Stewart]
-
A.
Owen McReynolds
Owen McReynolds is an individual notable primarily for bearing the McReynolds surname.
-
B.
Stanley Reed
Stanley Reed was an Associate Justice of the U.S. Supreme Court known for his generally conservative jurisprudence and frequent defense of governmental authority during the mid-20th century.
-
C.
Jan Harlan
Jan Harlan is a film producer best known for his long-time collaboration with director Stanley Kubrick on several of his later films.
-
D.
William P. Stewart
William P. Stewart was an American businessman best known as a founder of the major insurance company MetLife.
-
E.
Eldon Davis
Eldon Davis was an American architect best known for helping popularize the futuristic, car-oriented Googie style in mid-20th-century roadside and commercial buildings.
- 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: Truman Stewart Triple: [Alexis Stewart, hasChild, Truman Stewart]
Generated description
Truman Stewart is the daughter of television host and media personality Alexis Stewart and the granddaughter of lifestyle mogul Martha Stewart.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Truman Stewart Target entity description: Truman Stewart is the daughter of television host and media personality Alexis Stewart and the granddaughter of lifestyle mogul Martha Stewart.
-
A.
Owen McReynolds
Owen McReynolds is an individual notable primarily for bearing the McReynolds surname.
-
B.
Stanley Reed
Stanley Reed was an Associate Justice of the U.S. Supreme Court known for his generally conservative jurisprudence and frequent defense of governmental authority during the mid-20th century.
-
C.
Jan Harlan
Jan Harlan is a film producer best known for his long-time collaboration with director Stanley Kubrick on several of his later films.
-
D.
William P. Stewart
William P. Stewart was an American businessman best known as a founder of the major insurance company MetLife.
-
E.
Eldon Davis
Eldon Davis was an American architect best known for helping popularize the futuristic, car-oriented Googie style in mid-20th-century roadside and commercial buildings.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2455eeb4c81909066a8af78329ef3 |
completed | April 17, 2026, 2:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017afc578819086478bbdddc149df |
completed | May 10, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_6a0018a2e8c08190a27c242f635b54ee |
completed | May 10, 2026, 5:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0018f6de84819087b8e97b0400c77d |
completed | May 10, 2026, 5:34 a.m. |
Created at: April 10, 2026, 5:04 a.m.