Triple
T7725975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spontaneous Inventions |
E175130
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Linda Goldstein |
E688854
|
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: Linda Goldstein | Statement: [Spontaneous Inventions, producer, Linda Goldstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Goldstein Context triple: [Spontaneous Inventions, producer, Linda Goldstein]
-
A.
Linda Goldstein
chosen
Linda Goldstein is a music producer known for her work on projects such as the album "Simple Pleasures."
-
B.
Suzanne Goldberg
Suzanne Goldberg is known as the wife of prominent 1960s Free Speech Movement leader Mario Savio.
-
C.
Suzanne Goldberg
Suzanne Goldberg is a prominent civil rights lawyer and legal scholar known for her work on free speech and equality issues in the United States.
-
D.
Liz Gorinsky
Liz Gorinsky is an acclaimed science fiction and fantasy editor known for her influential work at Tor Books and for winning major genre awards.
-
E.
Tina Goldstein
Tina Goldstein is a determined American Auror in the Wizarding World franchise, prominently featured as a key ally of Newt Scamander in the Fantastic Beasts film series.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7031394e48190833b906af9166fe5 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ef0465a4819095c34584e8f80739 |
completed | March 29, 2026, 9:21 a.m. |
Created at: March 27, 2026, 4:05 p.m.