Triple
T15805201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Schenkel |
E383196
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Doris Schenkel
Doris Schenkel is best known as the wife of famed American sportscaster Chris Schenkel.
|
E1180307
|
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: Doris Schenkel | Statement: [Chris Schenkel, spouse, Doris Schenkel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doris Schenkel Context triple: [Chris Schenkel, spouse, Doris Schenkel]
-
A.
Doris Giehl
Doris Giehl is known as the wife of renowned Swedish operatic tenor Nicolai Gedda.
-
B.
Doris Sattler
Doris Sattler is a person notable enough to be recognized as a significant bearer of the surname Sattler.
-
C.
Martha Schmellinsky
Martha Schmellinsky was the wife of East German leader Walter Ulbricht and thus part of the political elite of the German Democratic Republic.
-
D.
Margarete Boden
Margarete Boden was a German nurse who became known as the wife of Heinrich Himmler, one of the leading figures of Nazi Germany.
-
E.
Ursula Hirschmann
Ursula Hirschmann was a German-born anti-fascist activist and pioneering European federalist who played a key role in the early movement for European integration.
- 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: Doris Schenkel Triple: [Chris Schenkel, spouse, Doris Schenkel]
Generated description
Doris Schenkel is best known as the wife of famed American sportscaster Chris Schenkel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doris Schenkel Target entity description: Doris Schenkel is best known as the wife of famed American sportscaster Chris Schenkel.
-
A.
Doris Giehl
Doris Giehl is known as the wife of renowned Swedish operatic tenor Nicolai Gedda.
-
B.
Doris Sattler
Doris Sattler is a person notable enough to be recognized as a significant bearer of the surname Sattler.
-
C.
Martha Schmellinsky
Martha Schmellinsky was the wife of East German leader Walter Ulbricht and thus part of the political elite of the German Democratic Republic.
-
D.
Margarete Boden
Margarete Boden was a German nurse who became known as the wife of Heinrich Himmler, one of the leading figures of Nazi Germany.
-
E.
Ursula Hirschmann
Ursula Hirschmann was a German-born anti-fascist activist and pioneering European federalist who played a key role in the early movement for European integration.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b525b1c08190acffab06d89dbdbe |
completed | April 16, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa12f92e48190bc2886f4070cfc70 |
completed | May 9, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69ffa417ee248190808b0fecfb58d705 |
completed | May 9, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa5372f248190827cdc4985fee1ef |
completed | May 9, 2026, 9:20 p.m. |
Created at: April 10, 2026, 4:48 a.m.