Triple
T18741535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nightnoise |
E458302
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Liz Story |
—
|
NE NERFINISHED |
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: Liz Story | Statement: [Nightnoise, hasMember, Liz Story]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liz Story Context triple: [Nightnoise, hasMember, Liz Story]
-
A.
Liz Story
chosen
Liz Story is an American pianist and composer known for her lyrical, jazz-influenced contemporary instrumental music.
-
B.
Beverly Story
Beverly Story is an individual notable enough to be recognized as a bearer of the surname Story, though specific widely known public details about her are not readily available.
-
C.
Liza Johnson
Liza Johnson is an American film director and screenwriter known for her character-driven independent films and the historical comedy-drama "Elvis & Nixon."
-
D.
Liz Robbins
Liz Robbins is the wife and climbing partner of pioneering American rock climber and outdoor clothing entrepreneur Royal Robbins.
-
E.
Liz Bien
Liz Bien is a character appearing in the 1965 British comedy film "What’s New Pussycat?".
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768ecc2081908143310190ffb460 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.