Triple
T16635348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eat a Bowl of Tea |
E404183
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Tom Sternberg
Tom Sternberg is a film producer best known for his work on independent and international features, including the adaptation of Louis Chu’s novel "Eat a Bowl of Tea."
|
E1224175
|
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: Tom Sternberg | Statement: [Eat a Bowl of Tea, producer, Tom Sternberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Sternberg Context triple: [Eat a Bowl of Tea, producer, Tom Sternberg]
-
A.
Tom Sternberg
Tom Sternberg is a film producer best known for his work on David Lynch’s neo-noir film "Lost Highway."
-
B.
Tom Sternberg
Tom Sternberg is a film producer best known for his work on acclaimed movies such as "The Talented Mr. Ripley."
-
C.
Stu Sternberg
Stu Sternberg is an American businessman best known as the principal owner of Major League Baseball’s Tampa Bay Rays.
-
D.
Eli Sternberg
Eli Sternberg was a prominent engineer and applied mathematician known for his influential contributions to the theory of elasticity and solid mechanics.
-
E.
Nevin Steinberg
Nevin Steinberg is a prominent American theatrical sound designer best known for his acclaimed work on the Broadway musical "Hamilton."
- 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: Tom Sternberg Triple: [Eat a Bowl of Tea, producer, Tom Sternberg]
Generated description
Tom Sternberg is a film producer best known for his work on independent and international features, including the adaptation of Louis Chu’s novel "Eat a Bowl of Tea."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Sternberg Target entity description: Tom Sternberg is a film producer best known for his work on independent and international features, including the adaptation of Louis Chu’s novel "Eat a Bowl of Tea."
-
A.
Tom Sternberg
Tom Sternberg is a film producer best known for his work on acclaimed movies such as "The Talented Mr. Ripley."
-
B.
Tom Sternberg
Tom Sternberg is a film producer best known for his work on David Lynch’s neo-noir film "Lost Highway."
-
C.
Stu Sternberg
Stu Sternberg is an American businessman best known as the principal owner of Major League Baseball’s Tampa Bay Rays.
-
D.
Eli Sternberg
Eli Sternberg was a prominent engineer and applied mathematician known for his influential contributions to the theory of elasticity and solid mechanics.
-
E.
Nevin Steinberg
Nevin Steinberg is a prominent American theatrical sound designer best known for his acclaimed work on the Broadway musical "Hamilton."
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e999d48190bff680040dbc883d |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dc05bd881909c6b2e0d95622aa1 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e1909b88190ad2587b5d5433e2e |
completed | May 10, 2026, 12:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007eda229c8190a6b99400141cf0b6 |
completed | May 10, 2026, 12:49 p.m. |
Created at: April 10, 2026, 5:17 a.m.