Triple
T11661026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shrek Forever After |
E277118
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Teresa Cheng
Teresa Cheng is a film producer known for her work on major animated features, including entries in the Shrek franchise.
|
E937850
|
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: Teresa Cheng | Statement: [Shrek Forever After, producer, Teresa Cheng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teresa Cheng Context triple: [Shrek Forever After, producer, Teresa Cheng]
-
A.
Estella Kwan
Estella Kwan is the mother of American figure skating champion Michelle Wingshan Kwan.
-
B.
Vivian Chow
Vivian Chow is a Hong Kong Cantopop singer and actress who rose to fame in the late 1980s and 1990s and became known as one of the era’s most popular idols.
-
C.
Cindy Cheung
Cindy Cheung is an American actress known for her work in independent films and television, often appearing in character-driven dramas and comedies.
-
D.
Leslie Chow
Leslie Chow is a wildly eccentric, foul-mouthed, and unpredictable gangster character from The Hangover film series, known for his outrageous antics and chaotic energy.
-
E.
Vivian Chan
Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
- 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: Teresa Cheng Triple: [Shrek Forever After, producer, Teresa Cheng]
Generated description
Teresa Cheng is a film producer known for her work on major animated features, including entries in the Shrek franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teresa Cheng Target entity description: Teresa Cheng is a film producer known for her work on major animated features, including entries in the Shrek franchise.
-
A.
Estella Kwan
Estella Kwan is the mother of American figure skating champion Michelle Wingshan Kwan.
-
B.
Vivian Chow
Vivian Chow is a Hong Kong Cantopop singer and actress who rose to fame in the late 1980s and 1990s and became known as one of the era’s most popular idols.
-
C.
Cindy Cheung
Cindy Cheung is an American actress known for her work in independent films and television, often appearing in character-driven dramas and comedies.
-
D.
Leslie Chow
Leslie Chow is a wildly eccentric, foul-mouthed, and unpredictable gangster character from The Hangover film series, known for his outrageous antics and chaotic energy.
-
E.
Vivian Chan
Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d29fdc8190af46b6e2badb1df5 |
completed | April 10, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee882148a08190a1a8c16d8cb7e48a |
completed | April 26, 2026, 9:48 p.m. |
| NEDg | Description generation | batch_69eeb315ebc48190a0f6ff0dc8afd462 |
completed | April 27, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69eecd9ecf508190aee072041cd0a97a |
completed | April 27, 2026, 2:44 a.m. |
Created at: April 8, 2026, 9:39 p.m.