Triple
T19999903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homelife |
E494289
|
entity |
| Predicate | characterRelation |
P38921
|
FINISHED |
| Object | Peter is Ann’s husband |
—
|
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: Peter is Ann’s husband | Statement: [Homelife, characterRelation, Peter is Ann’s husband]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter is Ann’s husband Context triple: [Homelife, characterRelation, Peter is Ann’s husband]
-
A.
John and Marsha
"John and Marsha" is a classic 1951 comedy sketch and recording by satirist Stan Freberg, famous for its entire dialogue consisting only of the two title names spoken with varying emotion.
-
B.
Pat and Margaret
Pat and Margaret is a British television comedy-drama written by Victoria Wood that follows the reunion of two estranged sisters whose very different lives collide when one becomes a famous TV personality.
-
C.
John and Mary
"John and Mary" is a 1969 romantic drama film starring Dustin Hoffman and Mia Farrow that explores the complexities of a modern relationship after a one-night stand.
-
D.
Ann (née Cooper)
Ann (née Cooper) was a passenger on the Mayflower and one of the early settlers of Plymouth Colony in 1620.
-
E.
Bob and Marcia
Bob and Marcia were a Jamaican vocal duo, best known for their late-1960s and early-1970s reggae and rocksteady hits such as their cover of “Young, Gifted and Black.”
- 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: Peter is Ann’s husband Target entity description: Peter is a fictional character defined primarily by his role as Ann’s husband within the context of their shared home life.
-
A.
John and Marsha
"John and Marsha" is a classic 1951 comedy sketch and recording by satirist Stan Freberg, famous for its entire dialogue consisting only of the two title names spoken with varying emotion.
-
B.
Pat and Margaret
Pat and Margaret is a British television comedy-drama written by Victoria Wood that follows the reunion of two estranged sisters whose very different lives collide when one becomes a famous TV personality.
-
C.
John and Mary
"John and Mary" is a 1969 romantic drama film starring Dustin Hoffman and Mia Farrow that explores the complexities of a modern relationship after a one-night stand.
-
D.
Ann (née Cooper)
Ann (née Cooper) was a passenger on the Mayflower and one of the early settlers of Plymouth Colony in 1620.
-
E.
Bob and Marcia
Bob and Marcia were a Jamaican vocal duo, best known for their late-1960s and early-1970s reggae and rocksteady hits such as their cover of “Young, Gifted and Black.”
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a15f308190a99ac3205f948acb |
completed | April 20, 2026, 5:25 p.m. |
Created at: April 11, 2026, 3:32 p.m.