Triple
T11578469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dogon languages |
E274563
|
entity |
| Predicate | researchedBy |
P1945
|
FINISHED |
| Object |
Jeffrey Heath
Jeffrey Heath is a linguist renowned for his extensive fieldwork and documentation of Dogon and other African languages.
|
E987424
|
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: Jeffrey Heath | Statement: [Dogon languages, researchedBy, Jeffrey Heath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Heath Context triple: [Dogon languages, researchedBy, Jeffrey Heath]
-
A.
Jeffrey Lynn
Jeffrey Lynn was an American film and stage actor best known for his roles in 1930s and 1940s Hollywood dramas and romances.
-
B.
Shawn Eckhardt
Shawn Eckhardt was a key figure in the 1994 figure skating scandal involving the attack on Nancy Kerrigan, portrayed as a central character in the film "I, Tonya."
-
C.
Jeffrey Byron
Jeffrey Byron is an American actor known for his work in film and television since the 1960s, including roles in genre and action productions.
-
D.
Jeffery Hudson
Jeffery Hudson is a pseudonym used by American author Michael Crichton, notably for his early medical thriller "A Case of Need."
-
E.
Brian Routh
Brian Routh was a British performance artist and musician best known as one half of the avant-garde comedy and performance duo The Kipper Kids.
- 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: Jeffrey Heath Triple: [Dogon languages, researchedBy, Jeffrey Heath]
Generated description
Jeffrey Heath is a linguist renowned for his extensive fieldwork and documentation of Dogon and other African languages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Heath Target entity description: Jeffrey Heath is a linguist renowned for his extensive fieldwork and documentation of Dogon and other African languages.
-
A.
Jeffrey Lynn
Jeffrey Lynn was an American film and stage actor best known for his roles in 1930s and 1940s Hollywood dramas and romances.
-
B.
Shawn Eckhardt
Shawn Eckhardt was a key figure in the 1994 figure skating scandal involving the attack on Nancy Kerrigan, portrayed as a central character in the film "I, Tonya."
-
C.
Jeffrey Byron
Jeffrey Byron is an American actor known for his work in film and television since the 1960s, including roles in genre and action productions.
-
D.
Jeffery Hudson
Jeffery Hudson is a pseudonym used by American author Michael Crichton, notably for his early medical thriller "A Case of Need."
-
E.
Brian Routh
Brian Routh was a British performance artist and musician best known as one half of the avant-garde comedy and performance duo The Kipper Kids.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8904b46288190890ecafd6ceb0c3d |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b7aff4c8190ba879e6c5632bb97 |
completed | May 2, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69f64f6a6c888190ad02f5f492df5d38 |
completed | May 2, 2026, 7:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6504b033c8190a31f49f2e59c6810 |
completed | May 2, 2026, 7:28 p.m. |
Created at: April 8, 2026, 9:38 p.m.