Triple
T22474322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Watson |
E555586
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Detective Riley |
—
|
NE NERFINISHED |
How this triple was built (3 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: Detective Riley | Statement: [Tom Watson, associatedWith, Detective Riley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Detective Riley Context triple: [Tom Watson, associatedWith, Detective Riley]
-
A.
Detective Riley
Detective Riley is a supporting police investigator character in the 2016 psychological thriller film "The Girl on the Train," involved in unraveling the central mystery.
-
B.
Detective Harrison
Detective Harrison is a supporting police investigator character in the dark comedy film "Observe and Report," contributing to the movie’s offbeat take on law enforcement.
-
C.
Detective Winn
Detective Winn is a supporting law enforcement character in the 1980 slasher film "Prom Night," involved in investigating the central murders surrounding the high school prom.
-
D.
Detective Danner
Detective Danner is a central comedic sleuth in the murder-mystery series "The Afterparty," known for her unconventional interrogation style and offbeat personality.
-
E.
Detective Ellie Miller
Detective Ellie Miller is the determined, emotionally driven police investigator portrayed by Anna Gunn in the crime drama series "Gracepoint."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Detective Riley Target entity description: Detective Riley is a fictional sleuth character, likely featured as a central investigator in crime or mystery stories connected to Tom Watson.
-
A.
Detective Riley
Detective Riley is a supporting police investigator character in the 2016 psychological thriller film "The Girl on the Train," involved in unraveling the central mystery.
-
B.
Detective Harrison
Detective Harrison is a supporting police investigator character in the dark comedy film "Observe and Report," contributing to the movie’s offbeat take on law enforcement.
-
C.
Detective Winn
Detective Winn is a supporting law enforcement character in the 1980 slasher film "Prom Night," involved in investigating the central murders surrounding the high school prom.
-
D.
Detective Danner
Detective Danner is a central comedic sleuth in the murder-mystery series "The Afterparty," known for her unconventional interrogation style and offbeat personality.
-
E.
Detective Ellie Miller
Detective Ellie Miller is the determined, emotionally driven police investigator portrayed by Anna Gunn in the crime drama series "Gracepoint."
- F. None of above. chosen
Provenance (2 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be2d5388190a59d11b3403d998b |
completed | April 29, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:49 p.m.