Triple
T17065889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoebox Films |
E414086
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Serenity (2019 film) |
E87945
|
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: Serenity (2019 film) | Statement: [Shoebox Films, notableWork, Serenity (2019 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serenity (2019 film) Context triple: [Shoebox Films, notableWork, Serenity (2019 film)]
-
A.
Serenity (2019 film)
chosen
Serenity is a 2019 neo-noir thriller film starring Matthew McConaughey and Anne Hathaway, known for its twist-filled plot and genre-bending narrative.
-
B.
Serenity
"Serenity" is a popular hard rock/alternative metal song by the American band Godsmack, known for its darker, atmospheric sound and introspective lyrics.
-
C.
Serenity
Serenity is the dedicated EVE Online game server that operates exclusively for players in mainland China.
-
D.
Serenity
Serenity is a soft, calming shade of blue often associated with tranquility and used in branding and design to evoke peace and relaxation.
-
E.
Serenity
Serenity is a component or aspect of the enigmatic character Faceless, likely representing a tranquil or composed facet of their nature.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db8171348190ab68d2e4f05f7120 |
completed | April 18, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012eda04d08190b450fbfc6ccb9054 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:34 a.m.