Triple
T16635372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eat a Bowl of Tea |
E404183
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Stan Egi
Stan Egi is an American actor known for his work in film and television, including roles in Asian American–themed productions.
|
E1224181
|
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: Stan Egi | Statement: [Eat a Bowl of Tea, castMember, Stan Egi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stan Egi Context triple: [Eat a Bowl of Tea, castMember, Stan Egi]
-
A.
Ben Staad
Ben Staad is a loyal and courageous young nobleman who aids Prince Peter in Stephen King’s fantasy novel "The Eyes of the Dragon."
-
B.
Stan Steiner
Stan Steiner is an American educator and author known for his work in children's literature and literacy education.
-
C.
Stan Salfas
Stan Salfas is a film editor known for his work on major feature films, including the science fiction sequel "Dawn of the Planet of the Apes."
-
D.
Don Stevens
Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
-
E.
Alan Ereira
Alan Ereira is a British historian, broadcaster, and documentary filmmaker known for his work on medieval history and indigenous cultures.
- 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: Stan Egi Triple: [Eat a Bowl of Tea, castMember, Stan Egi]
Generated description
Stan Egi is an American actor known for his work in film and television, including roles in Asian American–themed productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stan Egi Target entity description: Stan Egi is an American actor known for his work in film and television, including roles in Asian American–themed productions.
-
A.
Ben Staad
Ben Staad is a loyal and courageous young nobleman who aids Prince Peter in Stephen King’s fantasy novel "The Eyes of the Dragon."
-
B.
Stan Steiner
Stan Steiner is an American educator and author known for his work in children's literature and literacy education.
-
C.
Stan Salfas
Stan Salfas is a film editor known for his work on major feature films, including the science fiction sequel "Dawn of the Planet of the Apes."
-
D.
Don Stevens
Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
-
E.
Alan Ereira
Alan Ereira is a British historian, broadcaster, and documentary filmmaker known for his work on medieval history and indigenous cultures.
- 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.