Triple
T17218267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carole Ann Ford |
E417906
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object |
Mix Me a Person
Mix Me a Person is a 1962 British crime drama film centered on a barrister’s wife who enlists a troubled youth to help prove a condemned young man’s innocence.
|
E1257624
|
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: Mix Me a Person | Statement: [Carole Ann Ford, appearedIn, Mix Me a Person]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mix Me a Person Context triple: [Carole Ann Ford, appearedIn, Mix Me a Person]
-
A.
Mixed Me!
"Mixed Me!" is a children's picture book by Taye Diggs that celebrates a biracial child's identity, confidence, and sense of self.
-
B.
That Ain’t Me
"That Ain’t Me" is a track by Lil Wayne featured on his album *I Am Not a Human Being*.
-
C.
The Mix
The Mix is a UK-based digital support service offering free, confidential help and counseling for young people facing mental health, relationship, and life challenges.
-
D.
The Mix
The Mix is a 1991 remix album by German electronic pioneers Kraftwerk, featuring reworked and modernized versions of many of their classic tracks.
-
E.
In the Mix
In the Mix is a 2005 romantic comedy-crime film starring Usher as a DJ who becomes a bodyguard entangled in a mob family's affairs.
- 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: Mix Me a Person Triple: [Carole Ann Ford, appearedIn, Mix Me a Person]
Generated description
Mix Me a Person is a 1962 British crime drama film centered on a barrister’s wife who enlists a troubled youth to help prove a condemned young man’s innocence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mix Me a Person Target entity description: Mix Me a Person is a 1962 British crime drama film centered on a barrister’s wife who enlists a troubled youth to help prove a condemned young man’s innocence.
-
A.
Mixed Me!
"Mixed Me!" is a children's picture book by Taye Diggs that celebrates a biracial child's identity, confidence, and sense of self.
-
B.
That Ain’t Me
"That Ain’t Me" is a track by Lil Wayne featured on his album *I Am Not a Human Being*.
-
C.
The Mix
The Mix is a UK-based digital support service offering free, confidential help and counseling for young people facing mental health, relationship, and life challenges.
-
D.
The Mix
The Mix is a 1991 remix album by German electronic pioneers Kraftwerk, featuring reworked and modernized versions of many of their classic tracks.
-
E.
In the Mix
In the Mix is a 2005 romantic comedy-crime film starring Usher as a DJ who becomes a bodyguard entangled in a mob family's affairs.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddb2b148190b3b50572cc285e3d |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01675553b88190a04987b0de62cb15 |
completed | May 11, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a0169e5f7e881909cb3fe35935d888d |
completed | May 11, 2026, 5:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016a46409881908ea7e93fd31cd5c5 |
completed | May 11, 2026, 5:33 a.m. |
Created at: April 10, 2026, 5:38 a.m.