Triple
T10706827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessica Barth |
E252429
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Barth |
E205166
|
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: Barth | Statement: [Jessica Barth, familyName, Barth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barth Context triple: [Jessica Barth, familyName, Barth]
-
A.
Barth
chosen
Barth is a surname most notably associated with American actress Jessica Barth, known for her role in the "Ted" film series.
-
B.
Barth
Barth is a small historic town in northeastern Germany, located near the Baltic Sea coast in the state of Mecklenburg-Vorpommern.
-
C.
Borken
Borken is a town in western Germany that serves as an administrative and commercial center in the state of North Rhine-Westphalia.
-
D.
Gronau
Gronau is a town in Germany historically noted as the site of a battle during the Seven Years' War.
-
E.
Soest
Soest is a historic town in North Rhine-Westphalia, Germany, known for its well-preserved medieval architecture and former significance as a Hanseatic trading center.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fddfbed48190810bb3faee473fde |
completed | April 9, 2026, 1:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9990760b48190a05753974cdf556c |
completed | April 11, 2026, 12:42 a.m. |
Created at: April 8, 2026, 9:12 p.m.