Triple
T22177729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PDP Research Group |
E548090
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Richard C. Zemel
Richard C. Zemel is a prominent computer scientist and machine learning researcher known for his contributions to representation learning and neural networks.
|
E1524864
|
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 C. Zemel | Statement: [PDP Research Group, hasMember, Richard C. Zemel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard C. Zemel Context triple: [PDP Research Group, hasMember, Richard C. Zemel]
-
A.
Michael N. Marcus
Michael N. Marcus is a screenwriter best known for his work on the 1966 Western film "Duel at Diablo."
-
B.
David Lanzenberg
David Lanzenberg is a film cinematographer known for his work on feature films such as "Paper Towns."
-
C.
Richard Lipton
Richard Lipton is an American computer scientist known for his influential work in theoretical computer science and cryptography, including contributions to complexity theory and algorithm design.
-
D.
Daniel N. Rosenberg
Daniel N. Rosenberg is a film producer best known for his work on the acclaimed independent movie "Rodger Dodger."
-
E.
Ken F. Levin
Ken F. Levin is a television and film producer best known for his executive production work on the hit superhero series "The Boys."
- 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 C. Zemel Triple: [PDP Research Group, hasMember, Richard C. Zemel]
Generated description
Richard C. Zemel is a prominent computer scientist and machine learning researcher known for his contributions to representation learning and neural networks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Richard C. Zemel Target entity description: Richard C. Zemel is a prominent computer scientist and machine learning researcher known for his contributions to representation learning and neural networks.
-
A.
Michael N. Marcus
Michael N. Marcus is a screenwriter best known for his work on the 1966 Western film "Duel at Diablo."
-
B.
David Lanzenberg
David Lanzenberg is a film cinematographer known for his work on feature films such as "Paper Towns."
-
C.
Richard Lipton
Richard Lipton is an American computer scientist known for his influential work in theoretical computer science and cryptography, including contributions to complexity theory and algorithm design.
-
D.
Daniel N. Rosenberg
Daniel N. Rosenberg is a film producer best known for his work on the acclaimed independent movie "Rodger Dodger."
-
E.
Ken F. Levin
Ken F. Levin is a television and film producer best known for his executive production work on the hit superhero series "The Boys."
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6d03488190b29872ff3f436237 |
completed | April 28, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0aa608399c8190ad0832d7374a358f |
completed | May 18, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_6a0aa6b04798819088ab3ed8c3fe53af |
completed | May 18, 2026, 5:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa72467d4819093f84573de7c8da2 |
completed | May 18, 2026, 5:44 a.m. |
Created at: April 16, 2026, 8:34 p.m.