Triple
T14896690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shrek the Halls |
E359894
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Teresa Cheng |
E937850
|
NE FINISHED |
How this triple was built (2 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 the Halls, producer, Teresa Cheng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teresa Cheng Context triple: [Shrek the Halls, producer, Teresa Cheng]
-
A.
Teresa Cheng
chosen
Teresa Cheng is a film producer known for her work on major animated features, including entries in the Shrek franchise.
-
B.
Estella Kwan
Estella Kwan is the mother of American figure skating champion Michelle Wingshan Kwan.
-
C.
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.
-
D.
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.
-
E.
Selina Tsang
Selina Tsang is the wife of former Hong Kong Chief Executive Donald Tsang and a public figure known primarily for her role as his spouse in Hong Kong’s political and social circles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded6070b248190be8f4f91a0c0b1f3 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b679fb081908cf8f41acfba3b99 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 2:11 a.m.