Triple
T16380237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talia Balsam |
E397786
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Balsam |
E653257
|
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: Balsam | Statement: [Talia Balsam, familyName, Balsam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balsam Context triple: [Talia Balsam, familyName, Balsam]
-
A.
Balsam
chosen
Balsam is a surname most notably associated with American actor Martin Balsam, known for his prolific film and television career in the mid-20th century.
-
B.
Balsom
Balsom is the surname of Alison Balsom, a renowned English classical trumpeter celebrated for her solo performances and recordings.
-
C.
Biberwier
Biberwier is a small alpine village and municipality in the Tyrolean Zugspitz Arena of western Austria, known for its mountain scenery and outdoor recreation.
-
D.
Snowbell
Snowbell is the sardonic pet cat in the "Stuart Little" series, known for his humorous love-hate relationship with the mouse protagonist.
-
E.
Wiegel
Wiegel is a Dutch surname most notably borne by Hans Wiegel, a prominent liberal politician and former leader of the People's Party for Freedom and Democracy (VVD) in the Netherlands.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319db5b648190a8fca23518a1fb39 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0035689ef08190ba980a359498ca56 |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.