Triple
T5368973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingrid |
E108797
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Ingrid Michaelson |
E198297
|
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: Ingrid Michaelson | Statement: [Ingrid, hasNotableBearer, Ingrid Michaelson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ingrid Michaelson Context triple: [Ingrid, hasNotableBearer, Ingrid Michaelson]
-
A.
Ingrid Michaelson
chosen
Ingrid Michaelson is an American indie-pop singer-songwriter known for her introspective lyrics, catchy melodies, and frequent placement of her songs in television and film.
-
B.
Vanessa Carlton
Vanessa Carlton is an American singer-songwriter and pianist best known for her hit single "A Thousand Miles."
-
C.
Anna Jepsen
Anna Jepsen is a person notable enough to be recognized as a prominent bearer of the surname Jepsen.
-
D.
Heaven Hart
Heaven Hart is the daughter of American comedian and actor Kevin Hart.
-
E.
Mitchell Alsup
Mitchell Alsup is a computer engineer best known as one of the founders of Transmeta, a company that developed innovative low-power microprocessor technologies.
- 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd86873e0c8190bf5ecede2cc2bd8b |
completed | March 20, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf292c4d1c819088f7b977ac212688 |
completed | March 21, 2026, 11:26 p.m. |
Created at: March 20, 2026, 2:02 p.m.