Triple
T10225891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todd Rundgren |
E243201
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rundgren |
E856693
|
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: Rundgren | Statement: [Todd Rundgren, familyName, Rundgren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rundgren Context triple: [Todd Rundgren, familyName, Rundgren]
-
A.
Rundgren
chosen
Rundgren is a surname most prominently associated with American musician, songwriter, and producer Todd Rundgren.
-
B.
Liv Rundgren
Liv Rundgren is the birth name of American actress and model Liv Tyler, known for her roles in films such as "Armageddon" and "The Lord of the Rings" trilogy.
-
C.
Per Anger
Per Anger was a Swedish diplomat best known for his efforts to rescue Jews in Hungary during the Holocaust and for his close collaboration with Raoul Wallenberg.
-
D.
Michael Bergen
Michael Bergen is the charming yet immature college student and central character played by Ryan Reynolds in the sitcom "Two Guys and a Girl."
-
E.
Ulvaeus
Ulvaeus is the surname of Björn Ulvaeus, the Swedish musician, songwriter, and member of the pop group ABBA.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1f9cf6c81909a6b9e9b9d0a79fe |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d79490a3c48190a58bff2f63e5873d |
completed | April 9, 2026, 11:59 a.m. |
Created at: April 6, 2026, 11:17 a.m.