Triple
T12043107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She Wants Me |
E286712
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Megan Park |
E492338
|
NE FINISHED |
How this triple was built (2 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 Park | Statement: [She Wants Me, hasCastMember, Megan Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megan Park Context triple: [She Wants Me, hasCastMember, Megan Park]
-
A.
Megan Park
chosen
Megan Park is a Canadian actress best known for her role as Grace Bowman on the teen drama series "The Secret Life of the American Teenager."
-
B.
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.
-
C.
Megan Everett
Megan Everett is a writer and producer best known as the wife of Swedish actor Stellan Skarsgård.
-
D.
Megan Dodds
Megan Dodds is an American actress known for her work in film, television, and theatre, including roles in projects like "Ever After," "Spooks," and various stage productions in London’s West End.
-
E.
Kealia Ohai
Kealia Ohai is an American professional soccer forward known for her standout NWSL career and leadership with the Houston Dash.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040d13108190bd1a969fa62aae5a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49da728ec819080c349fd8d0ed62c |
completed | May 1, 2026, 12:33 p.m. |
Created at: April 8, 2026, 9:47 p.m.