Triple
T2334267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeannie Gaffigan |
E44273
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object |
In-Laws
In-Laws is a television sitcom series centered on the comedic tensions and relationships within an extended family.
|
E255446
|
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: In-Laws | Statement: [Jeannie Gaffigan, workedOn, In-Laws]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: In-Laws Context triple: [Jeannie Gaffigan, workedOn, In-Laws]
-
A.
Of Parents and Children
"Of Parents and Children" is a short essay by Francis Bacon that reflects on the duties, affections, and social implications of having and raising children.
-
B.
A Family Affair
A Family Affair is a 1937 American comedy-drama film that introduced the popular Hardy family characters and launched the long-running Andy Hardy film series.
-
C.
Mothers
Mothers is a section of the Tokyo Stock Exchange dedicated to emerging and high-growth startup companies seeking public investment.
-
D.
What Makes a Family
"What Makes a Family" is a 2001 television drama film that explores the legal and emotional struggles of a lesbian couple fighting for custody of their child.
-
E.
The Family
The Family is a funk and R&B band formed by Prince in the mid-1980s, best known for originating the song "Nothing Compares 2 U."
- 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: In-Laws Triple: [Jeannie Gaffigan, workedOn, In-Laws]
Generated description
In-Laws is a television sitcom series centered on the comedic tensions and relationships within an extended family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: In-Laws Target entity description: In-Laws is a television sitcom series centered on the comedic tensions and relationships within an extended family.
-
A.
Of Parents and Children
"Of Parents and Children" is a short essay by Francis Bacon that reflects on the duties, affections, and social implications of having and raising children.
-
B.
A Family Affair
A Family Affair is a 1937 American comedy-drama film that introduced the popular Hardy family characters and launched the long-running Andy Hardy film series.
-
C.
Mothers
Mothers is a section of the Tokyo Stock Exchange dedicated to emerging and high-growth startup companies seeking public investment.
-
D.
What Makes a Family
"What Makes a Family" is a 2001 television drama film that explores the legal and emotional struggles of a lesbian couple fighting for custody of their child.
-
E.
The Family
The Family is a funk and R&B band formed by Prince in the mid-1980s, best known for originating the song "Nothing Compares 2 U."
- 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc685f05481909c863b29d1f6bacd |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae8979bca08190aac46ef3dc1a2be2 |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae8a4a55c4819082b10a5995395e46 |
completed | March 9, 2026, 8:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8ae561c081908f64fb7ca43d928e |
completed | March 9, 2026, 8:55 a.m. |
Created at: March 4, 2026, 7:51 p.m.