Triple
T9341750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greig Fraser |
E224778
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Let Me In |
E242707
|
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: Let Me In | Statement: [Greig Fraser, workedOn, Let Me In]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Let Me In Context triple: [Greig Fraser, workedOn, Let Me In]
-
A.
Let Me In
chosen
Let Me In is a 2010 American-British horror film directed by Matt Reeves, adapting the Swedish vampire story "Let the Right One In" for an English-speaking audience.
-
B.
Let Me In Now
Let Me In Now is a track featured on the album "Suit" by American rapper Nelly.
-
C.
Letting You In
Letting You In is a studio album by American singer-songwriter and American Idol winner Kris Allen, showcasing his pop and acoustic-driven sound.
-
D.
Let the Right One In
Let the Right One In is a critically acclaimed 2008 Swedish romantic horror film about the bond between a bullied boy and a mysterious child vampire.
-
E.
Meet Me in the Woods
"Meet Me in the Woods" is a moody, atmospheric indie folk song by Lord Huron known for its haunting melodies and evocative storytelling.
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4bafa9108190889397614756020d |
completed | April 1, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f3bad4388190ac53657027262a46 |
completed | April 4, 2026, 11:19 a.m. |
Created at: March 30, 2026, 7:40 p.m.