Triple
T13865753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teddy Pendergrass |
E333319
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Karen Still
Karen Still is best known as the wife of legendary American R&B singer Teddy Pendergrass.
|
E1114737
|
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: Karen Still | Statement: [Teddy Pendergrass, spouse, Karen Still]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Still Context triple: [Teddy Pendergrass, spouse, Karen Still]
-
A.
Karen Dotrice
Karen Dotrice is a British former child actress best known for playing Jane Banks in Disney’s classic film "Mary Poppins."
-
B.
Karen Moss
Karen Moss is the biological mother of television personality and fashion designer Nicole Richie.
-
C.
Carol Stevens
Carol Stevens is best known as one of the former wives of American novelist and journalist Norman Mailer.
-
D.
Karen Roe
Karen Roe is a central character on the television series "One Tree Hill," known as Lucas Scott’s caring and resilient single mother and a key figure in the show's community.
-
E.
Karen Vick
Karen Vick is a fictional police chief on the TV series "Psych," known for overseeing the Santa Barbara Police Department and managing the antics of Shawn Spencer and Burton Guster.
- 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: Karen Still Triple: [Teddy Pendergrass, spouse, Karen Still]
Generated description
Karen Still is best known as the wife of legendary American R&B singer Teddy Pendergrass.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karen Still Target entity description: Karen Still is best known as the wife of legendary American R&B singer Teddy Pendergrass.
-
A.
Karen Dotrice
Karen Dotrice is a British former child actress best known for playing Jane Banks in Disney’s classic film "Mary Poppins."
-
B.
Karen Moss
Karen Moss is the biological mother of television personality and fashion designer Nicole Richie.
-
C.
Carol Stevens
Carol Stevens is best known as one of the former wives of American novelist and journalist Norman Mailer.
-
D.
Karen Roe
Karen Roe is a central character on the television series "One Tree Hill," known as Lucas Scott’s caring and resilient single mother and a key figure in the show's community.
-
E.
Karen Vick
Karen Vick is a fictional police chief on the TV series "Psych," known for overseeing the Santa Barbara Police Department and managing the antics of Shawn Spencer and Burton Guster.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c419d481909230e8879b6dab5c |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf06a3e208190a24e6cd9cb97e99c |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf15993e88190af2915db1584dfa1 |
completed | May 8, 2026, 2:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf1c407208190a0b544d98551319f |
completed | May 8, 2026, 2:23 p.m. |
Created at: April 9, 2026, 10:14 p.m.