Triple
T7178764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Zakheim |
E167388
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Zakheim |
E150610
|
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: Zakheim | Statement: [Helen Zakheim, familyName, Zakheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zakheim Context triple: [Helen Zakheim, familyName, Zakheim]
-
A.
Zakheim
chosen
Zakheim is a surname most notably associated with Bernard Zakheim, a Polish-born American muralist known for his New Deal–era public artworks in California.
-
B.
Urlacher
Urlacher is the surname of Brian Urlacher, a former NFL linebacker best known for his Hall of Fame career with the Chicago Bears.
-
C.
Leahey
Leahey is a surname variant of Leahy, an Irish family name of Gaelic origin.
-
D.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
E.
Nortrup
Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8b9756481908f35bceefb77ddce |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b935eb088190acb0b8a6b75addbb |
completed | March 28, 2026, 11:19 a.m. |
Created at: March 27, 2026, 2:49 p.m.