Triple
T2498346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Linney |
E52403
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Linney
Linney is the surname of American actress Laura Linney, known for her acclaimed work in film, television, and theater.
|
E271770
|
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: Linney | Statement: [Laura Linney, familyName, Linney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linney Context triple: [Laura Linney, familyName, Linney]
-
A.
Chaville
Chaville is a suburban commune in the western outskirts of Paris, located in the Hauts-de-Seine department of France.
-
B.
Lynn
Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
-
C.
Greer Shephard
Greer Shephard is an American television producer and director best known for co-creating and producing acclaimed drama series such as Nip/Tuck and The Closer.
-
D.
Lynde Bradley
Lynde Bradley was an American industrialist and co-founder of the company that became Rockwell Automation, known for pioneering work in industrial controls and automation.
-
E.
Channing
Channing is a surname most notably associated with several prominent American intellectuals, clergy, and public figures from the 18th and 19th centuries.
- 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: Linney Triple: [Laura Linney, familyName, Linney]
Generated description
Linney is the surname of American actress Laura Linney, known for her acclaimed work in film, television, and theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linney Target entity description: Linney is the surname of American actress Laura Linney, known for her acclaimed work in film, television, and theater.
-
A.
Chaville
Chaville is a suburban commune in the western outskirts of Paris, located in the Hauts-de-Seine department of France.
-
B.
Lynn
Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
-
C.
Greer Shephard
Greer Shephard is an American television producer and director best known for co-creating and producing acclaimed drama series such as Nip/Tuck and The Closer.
-
D.
Lynde Bradley
Lynde Bradley was an American industrialist and co-founder of the company that became Rockwell Automation, known for pioneering work in industrial controls and automation.
-
E.
Channing
Channing is a surname most notably associated with several prominent American intellectuals, clergy, and public figures from the 18th and 19th centuries.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1ae9040819091b3ca5b98659e99 |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f9be594819099a03a2784691124 |
completed | March 9, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_69af200e2db4819085851a45213edc89 |
completed | March 9, 2026, 7:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af208dfab081909d706aad8ff5f615 |
completed | March 9, 2026, 7:33 p.m. |
Created at: March 6, 2026, 9:46 p.m.