Triple
T4396201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unger |
E99493
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Ungerer |
E99493
|
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: Ungerer | Statement: [Unger, hasVariant, Ungerer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ungerer Context triple: [Unger, hasVariant, Ungerer]
-
A.
Giroux
Giroux is a French-origin surname borne by various notable individuals, including athletes, academics, and artists.
-
B.
Unger
chosen
Unger is a German-origin surname borne by various notable individuals across fields such as politics, arts, and academia.
-
C.
Dore
The Dore is a river in central France that flows through the Massif Central before joining the Allier.
-
D.
Julius Blank
Julius Blank was an engineer and entrepreneur best known as one of the “Traitorous Eight” who left Shockley Semiconductor to co-found Fairchild Semiconductor, helping launch Silicon Valley’s semiconductor industry.
-
E.
Larry Eigner
Larry Eigner was an American poet associated with the Black Mountain and Language poetry movements, known for his visually spaced, minimalist verse often composed from his wheelchair.
- 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_69b345506b408190b0e3dee616738a7d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352ab928c81909f4406d5df3e081b |
completed | March 12, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e536e1848190a2517ab351adfe48 |
completed | March 14, 2026, 10:46 p.m. |
Created at: March 12, 2026, 11:20 p.m.