Triple
T9400423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mackenzie Davis |
E226452
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Always Shine
Always Shine is a 2016 psychological thriller film about two actresses whose friendship unravels during a tense trip to Big Sur.
|
E795671
|
NE FINISHED |
How this triple was built (4 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: Always Shine | Statement: [Mackenzie Davis, notableWork, Always Shine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Always Shine Context triple: [Mackenzie Davis, notableWork, Always Shine]
-
A.
Dare to Shine
Dare to Shine is the inspirational slogan used to promote the 2019 FIFA Women’s World Cup, emphasizing empowerment, excellence, and visibility in women’s football.
-
B.
Shine Your Light
"Shine Your Light" is a notable song by the band Blue Electric Light, recognized as one of their standout tracks.
-
C.
Something Shines
"Something Shines" is a solo studio album by French musician Laetitia Sadier, known for its atmospheric blend of avant-pop, indie, and politically tinged lyrics.
-
D.
One Shine
One Shine is a track by hip-hop band The Roots featured on their acclaimed 1996 album Illadelph Halflife.
-
E.
Love Shine Brighter
"Love Shine Brighter" is a song by International Herb, likely featuring their characteristic reggae-influenced, roots-inspired sound.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Always Shine Triple: [Mackenzie Davis, notableWork, Always Shine]
Generated description
Always Shine is a 2016 psychological thriller film about two actresses whose friendship unravels during a tense trip to Big Sur.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Always Shine Target entity description: Always Shine is a 2016 psychological thriller film about two actresses whose friendship unravels during a tense trip to Big Sur.
-
A.
Dare to Shine
Dare to Shine is the inspirational slogan used to promote the 2019 FIFA Women’s World Cup, emphasizing empowerment, excellence, and visibility in women’s football.
-
B.
Shine Your Light
"Shine Your Light" is a notable song by the band Blue Electric Light, recognized as one of their standout tracks.
-
C.
Something Shines
"Something Shines" is a solo studio album by French musician Laetitia Sadier, known for its atmospheric blend of avant-pop, indie, and politically tinged lyrics.
-
D.
One Shine
One Shine is a track by hip-hop band The Roots featured on their acclaimed 1996 album Illadelph Halflife.
-
E.
Love Shine Brighter
"Love Shine Brighter" is a song by International Herb, likely featuring their characteristic reggae-influenced, roots-inspired sound.
- F. None of above. chosen
Provenance (5 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_69ca843170f88190800a8ab2b5fc568e |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5156b9588190bafb6b1c3ee3c0ed |
completed | April 1, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1012753088190bc73b7c577109e76 |
completed | April 4, 2026, 12:16 p.m. |
| NEDg | Description generation | batch_69d101aee16481909576ea5d8407beb5 |
completed | April 4, 2026, 12:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1024cfedc81908a97b5fe4970719a |
completed | April 4, 2026, 12:21 p.m. |
Created at: March 30, 2026, 7:46 p.m.