Triple
T22224243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric |
E549292
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Veronica Roth |
—
|
NE NERFINISHED |
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: Veronica Roth | Statement: [Eric, createdBy, Veronica Roth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veronica Roth Context triple: [Eric, createdBy, Veronica Roth]
-
A.
Veronica Roth
chosen
Veronica Roth is an American novelist best known for writing the bestselling young adult dystopian Divergent series.
-
B.
Christina Rosendahl
Christina Rosendahl is an actress known for her role in the 1989 horror film adaptation of Edgar Allan Poe's "The Masque of the Red Death."
-
C.
Jenny Downham
Jenny Downham is a British author best known for her young adult novel "Before I Die," which was adapted into the film "Now Is Good."
-
D.
Sarah Shephard
Sarah Shephard is a fictional character from the television series "Lost," known as Jack Shephard’s ex-wife.
-
E.
Lauren Oliver
Lauren Oliver is an American author best known for her young adult novels, including the dystopian "Delirium" series and the contemporary bestseller "Before I Fall."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b92b79c8190a8a4d33591abd763 |
completed | April 28, 2026, 9:50 p.m. |
Created at: April 16, 2026, 8:37 p.m.