Triple
T9987920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fault in Our Stars |
E196815
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | John Green |
E268535
|
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: John Green | Statement: [The Fault in Our Stars, author, John Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Green Context triple: [The Fault in Our Stars, author, John Green]
-
A.
John Green
chosen
John Green is an American author and YouTube creator best known for his bestselling young adult novels such as "The Fault in Our Stars" and "Looking for Alaska."
-
B.
John Green
John Green was an American statesman who represented South Carolina as a delegate to the Continental Congress during the Revolutionary era.
-
C.
John Green
John Green was a 19th-century English architect and engineer known for designing notable structures in northern England, including prominent monuments and bridges.
-
D.
Stephen Chbosky
Stephen Chbosky is an American novelist, screenwriter, and director best known for creating "The Perks of Being a Wallflower" and directing several major film adaptations.
-
E.
Patrick Ness
Patrick Ness is an acclaimed American-born British author best known for his young adult novels such as the "Chaos Walking" trilogy and "A Monster Calls."
- 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_69ca82f1678c819093d06320a05f16a4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdc79e10408190bcb4e55b6a0df79c |
completed | April 2, 2026, 1:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d25810584c81908382cf6edd700530 |
completed | April 5, 2026, 12:39 p.m. |
Created at: March 30, 2026, 8:50 p.m.