Triple
T20114503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peggy Loving |
E490420
|
entity |
| Predicate | subjectOf |
P38
|
FINISHED |
| Object | documentary film "The Loving Story" |
—
|
NE NERFINISHED |
How this triple was built (3 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: documentary film "The Loving Story" | Statement: [Peggy Loving, subjectOf, documentary film "The Loving Story"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: documentary film "The Loving Story" Context triple: [Peggy Loving, subjectOf, documentary film "The Loving Story"]
-
A.
documentary film "Love, Antosha"
"Love, Antosha" is a documentary film that explores the life, career, and personal struggles of actor Anton Yelchin through archival footage and interviews with those who knew him.
-
B.
documentary film "Marianne & Leonard: Words of Love"
"Marianne & Leonard: Words of Love" is a documentary film that explores the enduring, complex relationship between singer-songwriter Leonard Cohen and his muse Marianne Ihlen, set against the backdrop of the 1960s artistic scene.
-
C.
documentary film "Larisa"
The documentary film "Larisa" is a biographical portrait of acclaimed Soviet filmmaker Larisa Shepitko, exploring her life, artistic vision, and cinematic legacy.
-
D.
documentary film "All the Beauty and the Bloodshed"
"All the Beauty and the Bloodshed" is a documentary film that interweaves photographer Nan Goldin’s life and art with her activism against the Sackler family and the opioid crisis.
-
E.
documentary film "Salute"
"Salute" is a documentary film that explores Australian sprinter Peter Norman’s role in and connection to the iconic Black Power salute protest at the 1968 Mexico City Olympics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: documentary film "The Loving Story" Target entity description: "The Loving Story" is a 2011 documentary film that chronicles the interracial marriage and landmark U.S. Supreme Court case of Richard and Mildred Loving, which struck down laws banning interracial marriage.
-
A.
documentary film "Love, Antosha"
"Love, Antosha" is a documentary film that explores the life, career, and personal struggles of actor Anton Yelchin through archival footage and interviews with those who knew him.
-
B.
documentary film "Marianne & Leonard: Words of Love"
"Marianne & Leonard: Words of Love" is a documentary film that explores the enduring, complex relationship between singer-songwriter Leonard Cohen and his muse Marianne Ihlen, set against the backdrop of the 1960s artistic scene.
-
C.
documentary film "Larisa"
The documentary film "Larisa" is a biographical portrait of acclaimed Soviet filmmaker Larisa Shepitko, exploring her life, artistic vision, and cinematic legacy.
-
D.
documentary film "All the Beauty and the Bloodshed"
"All the Beauty and the Bloodshed" is a documentary film that interweaves photographer Nan Goldin’s life and art with her activism against the Sackler family and the opioid crisis.
-
E.
documentary film "Salute"
"Salute" is a documentary film that explores Australian sprinter Peter Norman’s role in and connection to the iconic Black Power salute protest at the 1968 Mexico City Olympics.
- F. None of above. chosen
Provenance (2 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666e31af081908d8e0c867c388a73 |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:29 p.m.