Triple
T8576041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Baer |
E203050
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Baer |
E486968
|
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: Baer | Statement: [Robert Baer, familyName, Baer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baer Context triple: [Robert Baer, familyName, Baer]
-
A.
Baer
chosen
Baer is a surname most notably associated with American actor and boxer Max Baer Sr.
-
B.
Barbel
Barbel is a feminine given name, commonly used as a diminutive or variant of names like Barbara in German-speaking regions.
-
C.
Baerbel
Baerbel is a feminine given name of German origin, commonly used as an alternative spelling of Bärbel.
-
D.
Baar
Baar is a municipality in the canton of Zug in central Switzerland, known for its favorable tax environment and mix of residential areas and international businesses.
-
E.
Schmarbeck
Schmarbeck is a small watercourse in Lower Saxony, Germany, known as one of the minor streams feeding into the Örtze River within the Lüneburg Heath 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea9638c081909a537cc44e485bee |
completed | March 31, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce899dd7d48190b44338b92ad68bd0 |
completed | April 2, 2026, 3:22 p.m. |
Created at: March 30, 2026, 6:21 p.m.