Triple
T3183063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Howard |
E66634
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Larissa Howard
Larissa Howard is known as the daughter of British military historian and politician Michael Howard.
|
E412403
|
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: Larissa Howard | Statement: [Michael Howard, hasChild, Larissa Howard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larissa Howard Context triple: [Michael Howard, hasChild, Larissa Howard]
-
A.
Jennifer Howard
Jennifer Howard was an American actress and the daughter of playwright Sidney Howard and actress Clare Eames, known for her work on stage and screen in the mid-20th century.
-
B.
Claire McDowell
Claire McDowell was an American silent film actress known for her prolific work in early cinema, often appearing in D.W. Griffith productions.
-
C.
Leah Salisbury
Leah Salisbury was the wife of American playwright and screenwriter Sidney Howard.
-
D.
Jennifer Lynton
Jennifer Lynton is a British film production assistant best known as the longtime second wife of actor Anthony Hopkins.
-
E.
Rebecca Feely
Rebecca Feely is known as the wife of former NFL placekicker and sports commentator Jay Feely.
- 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: Larissa Howard Triple: [Michael Howard, hasChild, Larissa Howard]
Generated description
Larissa Howard is known as the daughter of British military historian and politician Michael Howard.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Larissa Howard Target entity description: Larissa Howard is known as the daughter of British military historian and politician Michael Howard.
-
A.
Jennifer Howard
Jennifer Howard was an American actress and the daughter of playwright Sidney Howard and actress Clare Eames, known for her work on stage and screen in the mid-20th century.
-
B.
Claire McDowell
Claire McDowell was an American silent film actress known for her prolific work in early cinema, often appearing in D.W. Griffith productions.
-
C.
Leah Salisbury
Leah Salisbury was the wife of American playwright and screenwriter Sidney Howard.
-
D.
Jennifer Lynton
Jennifer Lynton is a British film production assistant best known as the longtime second wife of actor Anthony Hopkins.
-
E.
Rebecca Feely
Rebecca Feely is known as the wife of former NFL placekicker and sports commentator Jay Feely.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6bea1788190bbce7cb52f8e72e8 |
completed | March 8, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b2755c88190acc9bc70f1f3a53e |
completed | March 14, 2026, 2:05 p.m. |
| NEDg | Description generation | batch_69b56c4c41c88190b00ab8fc43686afb |
completed | March 14, 2026, 2:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b56cc2ae948190a5e13992626dd547 |
completed | March 14, 2026, 2:12 p.m. |
Created at: March 8, 2026, 3:06 p.m.