Triple
T16368957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birds of Prey |
E397511
|
entity |
| Predicate | hasSubject |
P450
|
FINISHED |
| Object | Revenge |
E26555
|
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: Revenge | Statement: [Birds of Prey, hasSubject, Revenge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Revenge Context triple: [Birds of Prey, hasSubject, Revenge]
-
A.
Revenge
chosen
Revenge was an English galleon of the Elizabethan navy, famed for its heroic last stand against a vastly superior Spanish fleet in 1591 under Sir Richard Grenville.
-
B.
Revenge
Revenge is an American television drama series centered on a young woman who infiltrates an affluent Hamptons community to exact vengeance on those who destroyed her family.
-
C.
Revenge
Revenge is a post-punk/alternative rock side project formed by New Order bassist Peter Hook, known for its darker, guitar-driven sound distinct from New Order’s synth-pop style.
-
D.
Revenge
"Revenge" is an early breakout track by rapper and singer XXXTentacion, known for its raw emotional tone and themes of heartbreak and loss.
-
E.
Vengeance
Vengeance is a 2022 dark comedy-thriller film written and directed by B.J. Novak that follows a New York writer-podcaster investigating a mysterious death in Texas.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff4021e88190ad093bab74cf82a4 |
completed | April 18, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dc29f088190ba5d69ff3c12a251 |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:08 a.m.