Triple
T18910060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Higher Ground Productions |
E462577
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Fatherhood |
—
|
NE NERFINISHED |
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: Fatherhood | Statement: [Higher Ground Productions, notableWork, Fatherhood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fatherhood Context triple: [Higher Ground Productions, notableWork, Fatherhood]
-
A.
Fatherhood
chosen
Fatherhood is a 2021 American comedy-drama film starring Kevin Hart as a widowed father struggling to raise his daughter alone.
-
B.
Fatherhood, for Beginners
"Fatherhood, for Beginners" is a story mission in the epilogue of Red Dead Redemption 2 that focuses on John Marston’s developing role as a father and family man.
-
C.
Motherhood
Motherhood is a 2009 comedy-drama film starring Uma Thurman as an overwhelmed New York City mom juggling parenting, marriage, and personal identity.
-
D.
Motherhood
Motherhood is a story mission in the epilogue of Red Dead Redemption 2 that focuses on John Marston’s family life and evolving responsibilities.
-
E.
Familyhood
Familyhood is a humorous and reflective essay collection by Paul Reiser that explores the joys, challenges, and absurdities of family life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c62182f48190ad81b6ef0c7bc7da |
completed | April 20, 2026, 6:22 a.m. |
Created at: April 10, 2026, 11:58 a.m.