Triple
T6540428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marla Gibbs |
E168270
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object |
Susie Garrett
Susie Garrett was an American actress and acting coach best known for her role as Betty Johnson on the television series "Punky Brewster."
|
E606555
|
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: Susie Garrett | Statement: [Marla Gibbs, hasSibling, Susie Garrett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susie Garrett Context triple: [Marla Gibbs, hasSibling, Susie Garrett]
-
A.
Susan Garrett
Susan Garrett is known primarily as the wife of former U.S. Secretary of State and Treasury James A. Baker III.
-
B.
Susie Moss
Susie Moss is best known as the wife of legendary British racing driver Sir Stirling Moss and a prominent figure in the motor racing community.
-
C.
Susie Myerson
Susie Myerson is a tough, sharp-tongued talent manager and key supporting character on the television series "The Marvelous Mrs. Maisel."
-
D.
Suzanne Johnson
Suzanne Johnson is a member of the Johnson family, known primarily in relation to that family group.
-
E.
Susie Lewis
Susie Lewis is an animator and producer best known for her work on the MTV animated series "Daria."
- 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: Susie Garrett Triple: [Marla Gibbs, hasSibling, Susie Garrett]
Generated description
Susie Garrett was an American actress and acting coach best known for her role as Betty Johnson on the television series "Punky Brewster."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susie Garrett Target entity description: Susie Garrett was an American actress and acting coach best known for her role as Betty Johnson on the television series "Punky Brewster."
-
A.
Susan Garrett
Susan Garrett is known primarily as the wife of former U.S. Secretary of State and Treasury James A. Baker III.
-
B.
Susie Moss
Susie Moss is best known as the wife of legendary British racing driver Sir Stirling Moss and a prominent figure in the motor racing community.
-
C.
Susie Myerson
Susie Myerson is a tough, sharp-tongued talent manager and key supporting character on the television series "The Marvelous Mrs. Maisel."
-
D.
Suzanne Johnson
Suzanne Johnson is a member of the Johnson family, known primarily in relation to that family group.
-
E.
Susie Lewis
Susie Lewis is an animator and producer best known for her work on the MTV animated series "Daria."
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6add7369c8190919cd7c07012a994 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e41d09488190bda71118c299fd31 |
completed | March 27, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69c6e55028ac8190b2bde6637981195c |
completed | March 27, 2026, 8:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6e5eacefc819092d0e9f79d90c4a6 |
completed | March 27, 2026, 8:17 p.m. |
Created at: March 27, 2026, 1:50 p.m.