Triple
T10846889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4*Town |
E256034
|
entity |
| Predicate | realWorldVocalPerformer |
P96043
|
FINISHED |
| Object | Topher Ngo |
E256033
|
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: Topher Ngo | Statement: [4*Town, realWorldVocalPerformer, Topher Ngo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Topher Ngo Context triple: [4*Town, realWorldVocalPerformer, Topher Ngo]
-
A.
Topher Ngo
chosen
Topher Ngo is a voice actor and singer best known for his role in Pixar's animated film "Turning Red."
-
B.
Felix Chong
Felix Chong is a Hong Kong filmmaker best known as the co-writer and co-creator of the acclaimed crime thriller series "Infernal Affairs," which inspired Martin Scorsese’s "The Departed."
-
C.
Christopher Chung
Christopher Chung is an actor known for his role in the British spy drama series "Slow Horses."
-
D.
Cory Tran
Cory Tran is an American adventure and lifestyle photographer known for his work with major brands and for being married to actress Freida Pinto.
-
E.
Robbi Chong
Robbi Chong is a Canadian actress and former model known for her film and television roles in the 1980s and 1990s.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75113bc188190ac78df0c51d95de6 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb162d718819081fbc3a082672b4f |
completed | April 14, 2026, 9:28 p.m. |
Created at: April 8, 2026, 9:20 p.m.