Triple
T17399687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike & Molly |
E423052
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Cleo King
Cleo King is an American character actress known for her comedic and dramatic roles in film and television, including a prominent part on the sitcom "Mike & Molly."
|
E1266864
|
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: Cleo King | Statement: [Mike & Molly, hasCastMember, Cleo King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cleo King Context triple: [Mike & Molly, hasCastMember, Cleo King]
-
A.
Cleo McDowell
Cleo McDowell is a fast-food restaurant owner and the protective father of Lisa McDowell in the comedy film "Coming to America."
-
B.
Cleo Sims
Cleo Sims is the central protagonist of the sitcom "Love, Inc.," a savvy dating consultant who helps clients navigate modern relationships while juggling her own romantic challenges.
-
C.
Cleo Barnard
Cleo Barnard is a British filmmaker and screenwriter known for her socially conscious, visually distinctive films such as "The Arbor" and "The Selfish Giant."
-
D.
Cleo Hampton
Cleo Hampton is the daughter of American actress Christina Ricci.
-
E.
Cleo Hampton
Cleo Hampton is an individual whose specific public background or notable achievements are not clearly identifiable from the given information.
- 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: Cleo King Triple: [Mike & Molly, hasCastMember, Cleo King]
Generated description
Cleo King is an American character actress known for her comedic and dramatic roles in film and television, including a prominent part on the sitcom "Mike & Molly."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cleo King Target entity description: Cleo King is an American character actress known for her comedic and dramatic roles in film and television, including a prominent part on the sitcom "Mike & Molly."
-
A.
Cleo McDowell
Cleo McDowell is a fast-food restaurant owner and the protective father of Lisa McDowell in the comedy film "Coming to America."
-
B.
Cleo Sims
Cleo Sims is the central protagonist of the sitcom "Love, Inc.," a savvy dating consultant who helps clients navigate modern relationships while juggling her own romantic challenges.
-
C.
Cleo Barnard
Cleo Barnard is a British filmmaker and screenwriter known for her socially conscious, visually distinctive films such as "The Arbor" and "The Selfish Giant."
-
D.
Cleo Hampton
Cleo Hampton is the daughter of American actress Christina Ricci.
-
E.
Cleo Hampton
Cleo Hampton is an individual whose specific public background or notable achievements are not clearly identifiable from the given information.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43ac0596481908c400916d5c1b971 |
completed | April 19, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01a002b034819099fd74e01bb382b0 |
completed | May 11, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_6a01a176d2488190951bbe07233a37e4 |
completed | May 11, 2026, 9:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a58b12088190828078c69c4fff4b |
completed | May 11, 2026, 9:46 a.m. |
Created at: April 10, 2026, 5:45 a.m.