Triple
T14104588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep Cover |
E339472
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Deep Cover |
E339472
|
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: Deep Cover | Statement: [Deep Cover, title, Deep Cover]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deep Cover Context triple: [Deep Cover, title, Deep Cover]
-
A.
Deep Cover
chosen
Deep Cover is a 1992 neo-noir crime thriller film in which an undercover cop infiltrates a Los Angeles drug cartel, noted for its gritty tone and Laurence Fishburne’s lead performance.
-
B.
Covert
Covert is a surname most notably associated with American actor, comedian, and producer Allen Covert, a frequent collaborator of Adam Sandler.
-
C.
Undercovers
Undercovers is an American action-spy television series created by J.J. Abrams that follows a married couple who are reactivated as CIA agents.
-
D.
Clandestine
Clandestine is a hard-boiled crime novel by James Ellroy that follows a young Los Angeles police officer entangled in corruption, murder, and moral ambiguity in 1950s L.A.
-
E.
Undercover
Undercover is a British television drama series that follows a lawyer uncovering shocking secrets about her husband and the justice system.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fbd02888190bf07fd6d8769b61c |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0b48e448190b4fb8cb33e5d97e6 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.