Triple
T14213359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peeta Mellark |
E352286
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Suzanne Collins |
E459302
|
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: Suzanne Collins | Statement: [Peeta Mellark, createdBy, Suzanne Collins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzanne Collins Context triple: [Peeta Mellark, createdBy, Suzanne Collins]
-
A.
Suzanne Collins
chosen
Suzanne Collins is an American author best known for writing the bestselling dystopian young adult series "The Hunger Games."
-
B.
Lois Lowry
Lois Lowry is an American author best known for her award-winning young adult novels such as "The Giver" and "Number the Stars."
-
C.
James Dashner
James Dashner is an American author best known for writing the young adult dystopian science fiction series "The Maze Runner."
-
D.
CR Snow
CR Snow is a leading Chinese brewing company best known for producing Snow Beer, one of the world’s top-selling beer brands.
-
E.
Stephenie Meyer
Stephenie Meyer is an American author best known for writing the hugely popular Twilight vampire romance series, which was adapted into a successful film franchise.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de620f07bc81909212dcd1c91b5f95 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19574280819091bafd95a75983bf |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:06 a.m.