Triple
T10365082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Live PD |
E244230
|
entity |
| Predicate | presenter |
P83
|
FINISHED |
| Object |
Sean Larkin
Sean Larkin is an American police officer and television personality best known for his on-screen role as an analyst and host on law-enforcement reality shows.
|
E857358
|
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: Sean Larkin | Statement: [Live PD, presenter, Sean Larkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean Larkin Context triple: [Live PD, presenter, Sean Larkin]
-
A.
Chris Larkin
Chris Larkin is a British actor known for his work in film, television, and theatre, and for being the son of acclaimed actress Maggie Smith.
-
B.
Kevin Dowd
Kevin Dowd is the brother of Pulitzer Prize–winning New York Times columnist Maureen Dowd.
-
C.
Joe Connolly
Joe Connolly was a Major League Baseball outfielder best known for his role on the 1914 "Miracle" Boston Braves championship team.
-
D.
Mark McDermott
Mark McDermott is a person notable enough to be specifically distinguished from others sharing the McDermott surname.
-
E.
Michael Lloyd
Michael Lloyd is an American record producer best known for his work on hit film soundtracks and numerous pop and rock recordings from the 1970s and 1980s.
- 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: Sean Larkin Triple: [Live PD, presenter, Sean Larkin]
Generated description
Sean Larkin is an American police officer and television personality best known for his on-screen role as an analyst and host on law-enforcement reality shows.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sean Larkin Target entity description: Sean Larkin is an American police officer and television personality best known for his on-screen role as an analyst and host on law-enforcement reality shows.
-
A.
Chris Larkin
Chris Larkin is a British actor known for his work in film, television, and theatre, and for being the son of acclaimed actress Maggie Smith.
-
B.
Kevin Dowd
Kevin Dowd is the brother of Pulitzer Prize–winning New York Times columnist Maureen Dowd.
-
C.
Joe Connolly
Joe Connolly was a Major League Baseball outfielder best known for his role on the 1914 "Miracle" Boston Braves championship team.
-
D.
Mark McDermott
Mark McDermott is a person notable enough to be specifically distinguished from others sharing the McDermott surname.
-
E.
Michael Lloyd
Michael Lloyd is an American record producer best known for his work on hit film soundtracks and numerous pop and rock recordings from the 1970s and 1980s.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e964a53c8190b748e80850e96656 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750c8c7588190a31bac5b774155fe |
completed | April 9, 2026, 7:10 a.m. |
| NEDg | Description generation | batch_69d751ab890c8190b1549619049dab91 |
completed | April 9, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7619e97588190a1443f9438c6efc0 |
completed | April 9, 2026, 8:21 a.m. |
Created at: April 6, 2026, noon