Triple
T11947348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Citadel |
E284334
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Bryan Oh |
E955904
|
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: Bryan Oh | Statement: [Citadel, executiveProducer, Bryan Oh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bryan Oh Context triple: [Citadel, executiveProducer, Bryan Oh]
-
A.
Bryan Oh
chosen
Bryan Oh is a television writer and producer best known for his work on series such as "Heroes" and "Chicago Fire."
-
B.
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.
-
C.
Jason Kim
Jason Kim is a film industry professional known for collaborating with acclaimed South Korean cinematographer Chung Chung-hoon.
-
D.
Kenton Lee
Kenton Lee is a natural language processing researcher best known for leading the development of ELMo contextual word embeddings at Allen Institute for AI.
-
E.
Dustin Nguyen
Dustin Nguyen is a Vietnamese-American actor best known for his role as Officer Harry Truman Ioki on the television series "21 Jump Street."
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903456ec0819082b8b10755a6b732 |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f471ba7fd88190909596e6e01e8714 |
completed | May 1, 2026, 9:26 a.m. |
Created at: April 8, 2026, 9:45 p.m.