Triple
T13540695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Am I Blue |
E323374
|
entity |
| Predicate | hasPerformer |
P5936
|
FINISHED |
| Object | Linda Eder |
E795397
|
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 Eder | Statement: [Am I Blue, hasPerformer, Linda Eder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Eder Context triple: [Am I Blue, hasPerformer, Linda Eder]
-
A.
Linda Eder
chosen
Linda Eder is an American singer and Broadway performer renowned for her powerful, classically influenced voice and her starring role in the musical "Jekyll & Hyde."
-
B.
Melissa Manchester
Melissa Manchester is an American singer-songwriter and actress known for her emotive pop and adult contemporary hits, including classics like "Midnight Blue" and "Don't Cry Out Loud."
-
C.
Diane Schuur
Diane Schuur is a Grammy-winning American jazz singer and pianist known for her powerful, expressive vocals and work in contemporary and traditional jazz.
-
D.
Sylvia Miles
Sylvia Miles was an American actress best known for her Oscar-nominated supporting role as a jaded New York socialite in the film "Midnight Cowboy."
-
E.
Karrin Allyson
Karrin Allyson is a Grammy-nominated American jazz singer and pianist known for her expressive interpretations of standards and multilingual vocal performances.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafd8ba10819098faadcc6adf251e |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9eaff881909a3cd9e88bb4ec5e |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.