Triple
T19041036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roseanne Barr |
E466000
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Roseanne Cherrie Barr |
E466000
|
NE FINISHED |
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: Roseanne Cherrie Barr | Statement: [Roseanne Barr, birthName, Roseanne Cherrie Barr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roseanne Cherrie Barr Context triple: [Roseanne Barr, birthName, Roseanne Cherrie Barr]
-
A.
Roseanne Roseannadanna
Roseanne Roseannadanna is a brash, over-sharing fictional news commentator character from "Saturday Night Live," famously portrayed by comedian Gilda Radner.
-
B.
Roseanne Conner
Roseanne Conner is the sharp-tongued, working-class matriarch at the center of the sitcom "Roseanne," known for her sarcastic humor and down-to-earth realism.
-
C.
Patricia Heaton
Patricia Heaton is an American actress best known for her role as Debra Barone on the hit sitcom "Everybody Loves Raymond."
-
D.
Roseanne Barr
chosen
Roseanne Barr is an American comedian, actress, writer, and television producer best known for creating and starring in the groundbreaking sitcom "Roseanne."
-
E.
Rosanne Millicent
Rosanne Millicent is a film producer best known for her work on the horror-comedy movie "Tucker & Dale vs. Evil."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d80118248190af6b4c74df5085ad |
completed | April 20, 2026, 7:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05c54c78788190905dbcdf996b0d9d |
completed | May 14, 2026, 12:51 p.m. |
Created at: April 10, 2026, 12:02 p.m.