Triple
T286494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Met Lab |
E5895
|
entity |
| Predicate | employed |
P7
|
FINISHED |
| Object |
Nathan Sugarman
Nathan Sugarman was an American physicist known for his work in nuclear chemistry and his contributions to the Manhattan Project.
|
E80728
|
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: Nathan Sugarman | Statement: [Met Lab, employed, Nathan Sugarman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathan Sugarman Context triple: [Met Lab, employed, Nathan Sugarman]
-
A.
Nathan Grossman
Nathan Grossman is a Swedish documentary filmmaker best known for directing the climate activist portrait film "I Am Greta."
-
B.
Eric Saltzman
Eric Saltzman is a co-founder of Creative Commons, the nonprofit organization that develops and promotes free legal tools for sharing and remixing creative works.
-
C.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
-
D.
Chris Lebenzon
Chris Lebenzon is an American film editor known for his long-time collaborations with directors like Tim Burton and Tony Scott on major Hollywood films.
-
E.
David Zuckerman
David Zuckerman is an American television producer and writer best known for his work on animated comedy series, including helping develop and produce the hit show Family Guy.
- 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: Nathan Sugarman Triple: [Met Lab, employed, Nathan Sugarman]
Generated description
Nathan Sugarman was an American physicist known for his work in nuclear chemistry and his contributions to the Manhattan Project.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nathan Sugarman Target entity description: Nathan Sugarman was an American physicist known for his work in nuclear chemistry and his contributions to the Manhattan Project.
-
A.
Nathan Grossman
Nathan Grossman is a Swedish documentary filmmaker best known for directing the climate activist portrait film "I Am Greta."
-
B.
Eric Saltzman
Eric Saltzman is a co-founder of Creative Commons, the nonprofit organization that develops and promotes free legal tools for sharing and remixing creative works.
-
C.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
-
D.
Chris Lebenzon
Chris Lebenzon is an American film editor known for his long-time collaborations with directors like Tim Burton and Tony Scott on major Hollywood films.
-
E.
David Zuckerman
David Zuckerman is an American television producer and writer best known for his work on animated comedy series, including helping develop and produce the hit show Family Guy.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e2c73a48190b549b688254e5fee |
completed | Feb. 28, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a57b51a58481909d8e602b3fe3c68c |
completed | March 2, 2026, 11:58 a.m. |
| NEDg | Description generation | batch_69a57dbe4aa88190ad6d185f8151f85b |
completed | March 2, 2026, 12:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a57e3b4d448190bd7f4a6249b7e3a1 |
completed | March 2, 2026, 12:10 p.m. |
Created at: Feb. 28, 2026, 3:02 a.m.