Triple
T12223069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty Lou Keim |
E291269
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Keim
Keim is a surname of German origin borne by various individuals, including American actress Betty Lou Keim.
|
E968461
|
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: Keim | Statement: [Betty Lou Keim, familyName, Keim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keim Context triple: [Betty Lou Keim, familyName, Keim]
-
A.
Keiyo
Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
-
B.
Miyazya
Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
-
C.
Tomia
Tomia is an island in Indonesia’s Wakatobi archipelago, renowned for its pristine coral reefs and exceptional scuba diving and snorkeling sites.
-
D.
Koubia
Koubia is a town in the Middle Guinea region of Guinea that serves as an important local administrative and commercial center.
-
E.
Oimachi
Oimachi is a commercial and residential district in Tokyo known for its busy train hub, shopping streets, and convenient access to central Shinagawa and other parts of the city.
- 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: Keim Triple: [Betty Lou Keim, familyName, Keim]
Generated description
Keim is a surname of German origin borne by various individuals, including American actress Betty Lou Keim.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keim Target entity description: Keim is a surname of German origin borne by various individuals, including American actress Betty Lou Keim.
-
A.
Keiyo
Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
-
B.
Miyazya
Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
-
C.
Tomia
Tomia is an island in Indonesia’s Wakatobi archipelago, renowned for its pristine coral reefs and exceptional scuba diving and snorkeling sites.
-
D.
Koubia
Koubia is a town in the Middle Guinea region of Guinea that serves as an important local administrative and commercial center.
-
E.
Oimachi
Oimachi is a commercial and residential district in Tokyo known for its busy train hub, shopping streets, and convenient access to central Shinagawa and other parts of the city.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca11f788190bad2efb6c83ffccb |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aa6d3d481909852a6f2f90d7a41 |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f60c06e4c08190985114da9317e8fd |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60c97a7e08190b782b3aa6d60d770 |
completed | May 2, 2026, 2:39 p.m. |
Created at: April 8, 2026, 9:51 p.m.