Triple
T12891493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amanda Plummer |
E308376
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Tammy Grimes |
E301969
|
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: Tammy Grimes | Statement: [Amanda Plummer, parent, Tammy Grimes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tammy Grimes Context triple: [Amanda Plummer, parent, Tammy Grimes]
-
A.
Tammy Grimes
chosen
Tammy Grimes was an American actress and singer best known for her Tony Award–winning work on the Broadway stage, including originating the title role in "The Unsinkable Molly Brown."
-
B.
Tamara Tunie
Tamara Tunie is an American actress and director best known for her long-running role as medical examiner Melinda Warner on the television series "Law & Order: Special Victims Unit."
-
C.
Julianne Simms
Julianne Simms is a central character in the television series "Breakout Kings," known for her role as a brilliant but troubled analyst who assists U.S. Marshals in tracking down escaped convicts.
-
D.
Teri Hudson
Teri Hudson is the wife of Stanley Hudson, a character from the American television series "The Office."
-
E.
Christine Goad
Christine Goad was the wife of Italian-English novelist and adventure writer Rafael Sabatini.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97146d2208190be5ae26e51193b67 |
completed | April 10, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e262580c8190ad3f1aa77fd0674c |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 5:39 p.m.