Triple
T17166947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biohazard |
E416631
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Shades of Grey |
E623765
|
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: Shades of Grey | Statement: [Biohazard, notableSong, Shades of Grey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shades of Grey Context triple: [Biohazard, notableSong, Shades of Grey]
-
A.
Shades of Grey
chosen
Shades of Grey is a satirical dystopian novel by Jasper Fforde set in a world where social hierarchy is determined by the ability to perceive color.
-
B.
Shades of Gray
"Shades of Gray" is a song co-written by acclaimed American songwriter Cynthia Weil, known for her influential contributions to pop and rock music.
-
C.
Fifty Shades of Grey
Fifty Shades of Grey is an erotic romance novel by E. L. James that became a global bestseller and launched a major film franchise.
-
D.
Fifty Shades of Black
Fifty Shades of Black is a 2016 parody comedy film that satirizes the erotic romance movie "Fifty Shades of Grey."
-
E.
Grey: Fifty Shades of Grey as Told by Christian
Grey: Fifty Shades of Grey as Told by Christian is a companion novel to the original Fifty Shades of Grey that retells the story from Christian Grey’s perspective.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f915622c8190a6dff0baf0288a62 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483d754c819089607cfc87d08d42 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.