Triple
T9041740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patti Scialfa |
E216647
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Rumble Doll |
E216649
|
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: Rumble Doll | Statement: [Patti Scialfa, notableWork, Rumble Doll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rumble Doll Context triple: [Patti Scialfa, notableWork, Rumble Doll]
-
A.
Rumble Doll
chosen
Rumble Doll is Patti Scialfa’s debut solo album, showcasing her introspective songwriting and roots-rock style.
-
B.
Rag Doll
"Rag Doll" is a hit rock song by Aerosmith, released in 1988 and known for its bluesy groove and prominent horn section.
-
C.
Living Doll
"Living Doll" is a famous episode of the original The Twilight Zone series in which a seemingly sentient talking doll terrorizes a family, becoming one of the show's most iconic horror stories.
-
D.
Paper Doll
"Paper Doll" is a song featured on the album "Paradise Valley" by American singer-songwriter John Mayer.
-
E.
My Living Doll
My Living Doll is a 1960s American science-fiction sitcom about a lifelike female robot learning to live among humans.
- 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_69ca83d22d488190adbce5e020e9cd1d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b110fcc8190a09e8ac5d98e399e |
completed | April 1, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeb98e6008190a73c76c50aa7ed23 |
completed | April 3, 2026, 4:32 p.m. |
Created at: March 30, 2026, 7:09 p.m.