Triple
T23366985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Hausmann |
E593350
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hausmann |
—
|
NE NERFINISHED |
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: Hausmann | Statement: [Robert Hausmann, familyName, Hausmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hausmann Context triple: [Robert Hausmann, familyName, Hausmann]
-
A.
Hausmann
chosen
Hausmann is a surname of German origin, often associated with individuals of German-speaking heritage.
-
B.
Haussmann
Haussmann is a French surname most famously associated with Georges-Eugène Haussmann, the 19th-century urban planner who radically redesigned Paris.
-
C.
Printemps Haussmann
Printemps Haussmann is a historic, upscale Parisian department store renowned for its grand architecture, fashion offerings, and elaborate window displays.
-
D.
Oberkampf
Oberkampf is a Paris Métro station in the 11th arrondissement, serving as an interchange between lines 5 and 9 near the lively Oberkampf district.
-
E.
Maison Manuvie
Maison Manuvie is a prominent office tower in downtown Montreal that serves as a major commercial and financial hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0ad621881908a909f236e6e9c90 |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 17, 2026, 5:32 p.m.