Triple
T7560458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castle |
E178779
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Lanie Parish
Lanie Parish is a sharp-witted medical examiner and close friend of Kate Beckett on the crime-comedy TV series "Castle."
|
E673649
|
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: Lanie Parish | Statement: [Castle, hasCharacter, Lanie Parish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanie Parish Context triple: [Castle, hasCharacter, Lanie Parish]
-
A.
Leilani Sarelle
Leilani Sarelle is an American actress best known for her role as Roxy in the 1992 thriller film "Basic Instinct."
-
B.
Lana Morris
Lana Morris was a British film and television actress known for her work in mid-20th-century comedies and dramas.
-
C.
Janelle Lacey
Janelle Lacey is known as the former wife of American actor Richard Dreyfuss.
-
D.
Leilani Mitchell
Leilani Mitchell is an American-Australian professional basketball player and point guard known for her sharpshooting and playmaking in the WNBA and international competition.
-
E.
Rochelle Aytes
Rochelle Aytes is an American actress known for her roles in television series such as "Mistresses" and "The Purge," as well as films like "Trick 'r Treat."
- 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: Lanie Parish Triple: [Castle, hasCharacter, Lanie Parish]
Generated description
Lanie Parish is a sharp-witted medical examiner and close friend of Kate Beckett on the crime-comedy TV series "Castle."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lanie Parish Target entity description: Lanie Parish is a sharp-witted medical examiner and close friend of Kate Beckett on the crime-comedy TV series "Castle."
-
A.
Leilani Sarelle
Leilani Sarelle is an American actress best known for her role as Roxy in the 1992 thriller film "Basic Instinct."
-
B.
Lana Morris
Lana Morris was a British film and television actress known for her work in mid-20th-century comedies and dramas.
-
C.
Janelle Lacey
Janelle Lacey is known as the former wife of American actor Richard Dreyfuss.
-
D.
Leilani Mitchell
Leilani Mitchell is an American-Australian professional basketball player and point guard known for her sharpshooting and playmaking in the WNBA and international competition.
-
E.
Rochelle Aytes
Rochelle Aytes is an American actress known for her roles in television series such as "Mistresses" and "The Purge," as well as films like "Trick 'r Treat."
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8dd96488190b4cca25ae8f7f95c |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856cc869081909555ae03dec52288 |
completed | March 28, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69c85765d1f48190b171ff87a15c5b74 |
completed | March 28, 2026, 10:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8580963748190b81bd7437259da28 |
completed | March 28, 2026, 10:36 p.m. |
Created at: March 27, 2026, 3:50 p.m.