Triple
T14804723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crossroads |
E348001
|
entity |
| Predicate | followsWork |
P9710
|
FINISHED |
| Object | Purity |
E335134
|
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: Purity | Statement: [Crossroads, followsWork, Purity]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Purity Context triple: [Crossroads, followsWork, Purity]
-
A.
Purity
Purity is a 2015 novel by Jonathan Franzen that intertwines themes of identity, secrecy, and modern technology through the story of a young woman searching for the truth about her origins.
-
B.
Purity
chosen
Purity is a Middle English alliterative poem, often associated with the Pearl Poet, that explores the theme of spiritual and moral cleanliness through biblical narratives.
-
C.
The Purity
The Purity is an English name for Surah Al-Ikhlas, a short but central chapter of the Qur’an that emphasizes the absolute oneness and uniqueness of God.
-
D.
Purify
Purify is a software debugging and memory error detection tool originally developed by Pure Software to help developers identify and fix runtime memory issues in their programs.
-
E.
Sensual Purity
Sensual Purity is Mercedes-Benz’s modern design philosophy that blends emotional, sculpted surfaces with clean, minimalist lines to create a luxurious yet contemporary aesthetic.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf32666081908e84f985c47eb963 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c6b3008190a0fac1dace40361a |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:34 a.m.