Triple
T17607002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Blanc |
E428857
|
entity |
| Predicate | producerOf |
P490
|
FINISHED |
| Object |
Good Family Times
Good Family Times is an independent film produced by Jennifer Blanc that blends family drama with dark, genre-tinged storytelling.
|
E1277856
|
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: Good Family Times | Statement: [Jennifer Blanc, producerOf, Good Family Times]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Good Family Times Context triple: [Jennifer Blanc, producerOf, Good Family Times]
-
A.
Family Time
Family Time is an American sitcom that follows a working-class African American family navigating everyday life and relationships with humor and heart.
-
B.
Family Time
Family Time is a children's reggae album by Ziggy Marley that blends uplifting messages with playful, family-friendly songs.
-
C.
Good Clean Fun
Good Clean Fun is a song featured on the Allman Brothers Band’s album "Seven Turns."
-
D.
Little family
The Little family is a fictional household featured in the "Stuart Little" series, serving as the adoptive human family of the mouse protagonist Stuart.
-
E.
Best family
The Best family is a Liverpool household best known for running the Casbah Coffee Club, an early rock venue closely associated with the Beatles’ formative years.
- 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: Good Family Times Triple: [Jennifer Blanc, producerOf, Good Family Times]
Generated description
Good Family Times is an independent film produced by Jennifer Blanc that blends family drama with dark, genre-tinged storytelling.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Good Family Times Target entity description: Good Family Times is an independent film produced by Jennifer Blanc that blends family drama with dark, genre-tinged storytelling.
-
A.
Family Time
Family Time is an American sitcom that follows a working-class African American family navigating everyday life and relationships with humor and heart.
-
B.
Family Time
Family Time is a children's reggae album by Ziggy Marley that blends uplifting messages with playful, family-friendly songs.
-
C.
Good Clean Fun
Good Clean Fun is a song featured on the Allman Brothers Band’s album "Seven Turns."
-
D.
Little family
The Little family is a fictional household featured in the "Stuart Little" series, serving as the adoptive human family of the mouse protagonist Stuart.
-
E.
Best family
The Best family is a Liverpool household best known for running the Casbah Coffee Club, an early rock venue closely associated with the Beatles’ formative years.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4ccef08190aeaa88670364bd74 |
completed | April 19, 2026, 5:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01e8201678819094fc43c1fcde7203 |
completed | May 11, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_6a01ecfb2ff4819082f67ab1f2ce8885 |
completed | May 11, 2026, 2:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01ee0c03e881908aaaa3bd0f596387 |
completed | May 11, 2026, 2:56 p.m. |
Created at: April 10, 2026, 5:51 a.m.