Triple
T13355769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nehring |
E318686
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Richard Nehring
Richard Nehring is an American energy analyst and historian known for his work on oil and gas resource assessment and energy policy.
|
E1034656
|
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: Richard Nehring | Statement: [Nehring, hasNotableBearer, Richard Nehring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Nehring Context triple: [Nehring, hasNotableBearer, Richard Nehring]
-
A.
Kevin Nolting
Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
-
B.
Michael Neeleman
Michael Neeleman is a notable individual recognized as a bearer of the Neeleman surname, likely distinguished in a professional or public context.
-
C.
Lee Neuwirth
Lee Neuwirth is an American mathematician known for his work in topology and for being the father of actress and dancer Bebe Neuwirth.
-
D.
Michael Schoeffling
Michael Schoeffling is an American former actor and model best known for his role as Jake Ryan in the 1984 film "Sixteen Candles."
-
E.
Nigel Glockler
Nigel Glockler is an English drummer best known for his long-standing role in the heavy metal band Saxon.
- 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: Richard Nehring Triple: [Nehring, hasNotableBearer, Richard Nehring]
Generated description
Richard Nehring is an American energy analyst and historian known for his work on oil and gas resource assessment and energy policy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Richard Nehring Target entity description: Richard Nehring is an American energy analyst and historian known for his work on oil and gas resource assessment and energy policy.
-
A.
Kevin Nolting
Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
-
B.
Michael Neeleman
Michael Neeleman is a notable individual recognized as a bearer of the Neeleman surname, likely distinguished in a professional or public context.
-
C.
Lee Neuwirth
Lee Neuwirth is an American mathematician known for his work in topology and for being the father of actress and dancer Bebe Neuwirth.
-
D.
Michael Schoeffling
Michael Schoeffling is an American former actor and model best known for his role as Jake Ryan in the 1984 film "Sixteen Candles."
-
E.
Nigel Glockler
Nigel Glockler is an English drummer best known for his long-standing role in the heavy metal band Saxon.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99f1ef94c81909a59b7c3f77d3335 |
completed | April 11, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f4bdfdc819094d3945280ed8d30 |
completed | May 3, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69f72018c4848190941732e3a938278a |
completed | May 3, 2026, 10:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f720bf04548190833af70061b017a1 |
completed | May 3, 2026, 10:17 a.m. |
Created at: April 9, 2026, 9:32 p.m.