Triple
T12846842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Brunner |
E307199
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Brunner
Brunner is a surname of German origin borne by various notable individuals across fields such as sports, politics, and the arts.
|
E1007071
|
NE FINISHED |
How this triple was built (4 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: Brunner | Statement: [Scott Brunner, hasFamilyName, Brunner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brunner Context triple: [Scott Brunner, hasFamilyName, Brunner]
-
A.
Bilein
Bilein is an alternative name for the Bilen people, an ethnic group primarily inhabiting parts of Eritrea and eastern Sudan.
-
B.
Brenner
Brenner is a surname of German origin borne by various notable individuals across fields such as science, politics, and the arts.
-
C.
Brutinel
Brutinel is a French surname most notably associated with Raymond Brutinel, a pioneering military officer and early advocate of mechanized warfare.
-
D.
Barrett
Barrett is a common English and Irish surname borne by numerous notable individuals across politics, law, sports, and the arts.
-
E.
Badian
Badian is a coastal municipality in southwestern Cebu, Philippines, known for attractions like Kawasan Falls and canyoneering activities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Brunner Triple: [Scott Brunner, hasFamilyName, Brunner]
Generated description
Brunner is a surname of German origin borne by various notable individuals across fields such as sports, politics, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brunner Target entity description: Brunner is a surname of German origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
A.
Bilein
Bilein is an alternative name for the Bilen people, an ethnic group primarily inhabiting parts of Eritrea and eastern Sudan.
-
B.
Brenner
Brenner is a surname of German origin borne by various notable individuals across fields such as science, politics, and the arts.
-
C.
Brutinel
Brutinel is a French surname most notably associated with Raymond Brutinel, a pioneering military officer and early advocate of mechanized warfare.
-
D.
Barrett
Barrett is a common English and Irish surname borne by numerous notable individuals across politics, law, sports, and the arts.
-
E.
Badian
Badian is a coastal municipality in southwestern Cebu, Philippines, known for attractions like Kawasan Falls and canyoneering activities.
- F. None of above. chosen
Provenance (5 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff49efc8190bd6bbac510cc4705 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69ba1ef2481909bcf68a698afd3c6 |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69dad1f9c8190b48c40f49dbd396d |
completed | May 3, 2026, 12:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69e5fd19c819082f9fe0d26c56c9a |
completed | May 3, 2026, 1:01 a.m. |
Created at: April 9, 2026, 5:36 p.m.