Triple
T11340131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miranda Cosgrove |
E268573
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object |
Megan Parker
Megan Parker is the mischievous, prank-loving younger sister character from the Nickelodeon sitcom "Drake & Josh."
|
E1018540
|
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: Megan Parker | Statement: [Miranda Cosgrove, playedCharacter, Megan Parker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megan Parker Context triple: [Miranda Cosgrove, playedCharacter, Megan Parker]
-
A.
Megan Everett
Megan Everett is a writer and producer best known as the wife of Swedish actor Stellan Skarsgård.
-
B.
Megan Foster
Megan Foster is an American local government leader serving as the mayor of Coralville, Iowa.
-
C.
Megan Brock
Megan Brock is a character in John Grisham’s legal thriller "The Street Lawyer," involved in the novel’s exploration of homelessness, justice, and moral responsibility.
-
D.
Megan Burns
Megan Burns is a British actress best known for her role as Hannah in the post-apocalyptic horror film "28 Days Later."
-
E.
Megan Ferguson
Megan Ferguson is an American actress known for her work in television comedies and dramas, including a prominent role in the series "The Comedians."
- 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: Megan Parker Triple: [Miranda Cosgrove, playedCharacter, Megan Parker]
Generated description
Megan Parker is the mischievous, prank-loving younger sister character from the Nickelodeon sitcom "Drake & Josh."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Megan Parker Target entity description: Megan Parker is the mischievous, prank-loving younger sister character from the Nickelodeon sitcom "Drake & Josh."
-
A.
Megan Everett
Megan Everett is a writer and producer best known as the wife of Swedish actor Stellan Skarsgård.
-
B.
Megan Foster
Megan Foster is an American local government leader serving as the mayor of Coralville, Iowa.
-
C.
Megan Brock
Megan Brock is a character in John Grisham’s legal thriller "The Street Lawyer," involved in the novel’s exploration of homelessness, justice, and moral responsibility.
-
D.
Megan Burns
Megan Burns is a British actress best known for her role as Hannah in the post-apocalyptic horror film "28 Days Later."
-
E.
Megan Ferguson
Megan Ferguson is an American actress known for her work in television comedies and dramas, including a prominent role in the series "The Comedians."
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea01c6c08190910a6ce8fb7e186d |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbaa8acc8190839b9a9f9f821168 |
completed | May 3, 2026, 4:14 a.m. |
| NEDg | Description generation | batch_69f6ce1f52388190935be76122890d63 |
completed | May 3, 2026, 4:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ceafcca88190bcd65be3c4440987 |
completed | May 3, 2026, 4:27 a.m. |
Created at: April 8, 2026, 9:33 p.m.