Triple
T1100961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Leyland |
E24377
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Kellie Leyland
Kellie Leyland is known as the daughter of longtime Major League Baseball manager Jim Leyland.
|
E179133
|
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: Kellie Leyland | Statement: [Jim Leyland, hasChild, Kellie Leyland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kellie Leyland Context triple: [Jim Leyland, hasChild, Kellie Leyland]
-
A.
Katie Leyland
Katie Leyland is known as the wife of longtime Major League Baseball manager Jim Leyland.
-
B.
Tahnee Welch
Tahnee Welch is an American actress and model best known for her role in the science-fiction film "Cocoon" and for being the daughter of actress Raquel Welch.
-
C.
Lindsay Brunnock
Lindsay Brunnock is a British art director known for her work in film and television and for being married to actor and director Kenneth Branagh.
-
D.
Jacqui Ainsley
Jacqui Ainsley is an English model known for her work in fashion and advertising, as well as her high-profile marriage to filmmaker Guy Ritchie.
-
E.
Mary Kane
Mary Kane is a pivotal supporting character in the film "Citizen Kane," known as Charles Foster Kane’s mother whose early decision about his upbringing profoundly shapes his life.
- 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: Kellie Leyland Triple: [Jim Leyland, hasChild, Kellie Leyland]
Generated description
Kellie Leyland is known as the daughter of longtime Major League Baseball manager Jim Leyland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kellie Leyland Target entity description: Kellie Leyland is known as the daughter of longtime Major League Baseball manager Jim Leyland.
-
A.
Katie Leyland
Katie Leyland is known as the wife of longtime Major League Baseball manager Jim Leyland.
-
B.
Tahnee Welch
Tahnee Welch is an American actress and model best known for her role in the science-fiction film "Cocoon" and for being the daughter of actress Raquel Welch.
-
C.
Lindsay Brunnock
Lindsay Brunnock is a British art director known for her work in film and television and for being married to actor and director Kenneth Branagh.
-
D.
Jacqui Ainsley
Jacqui Ainsley is an English model known for her work in fashion and advertising, as well as her high-profile marriage to filmmaker Guy Ritchie.
-
E.
Mary Kane
Mary Kane is a pivotal supporting character in the film "Citizen Kane," known as Charles Foster Kane’s mother whose early decision about his upbringing profoundly shapes his life.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9c079f48190a0e0ddda182f7a01 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad4001bcd4819088f59e31e3ed79cf |
completed | March 8, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_69ad4173cd4c8190be876a6e065d92f5 |
completed | March 8, 2026, 9:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad41d249cc8190a2f445410f8494ac |
completed | March 8, 2026, 9:30 a.m. |
Created at: March 1, 2026, 7:43 p.m.