Triple
T21492714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Writing Excuses |
E530276
|
entity |
| Predicate | hasGuestHost |
P10756
|
FINISHED |
| Object | Claudia Gray |
—
|
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: Claudia Gray | Statement: [Writing Excuses, hasGuestHost, Claudia Gray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claudia Gray Context triple: [Writing Excuses, hasGuestHost, Claudia Gray]
-
A.
Claudia Gray
chosen
Claudia Gray is an American author best known for her young adult paranormal novels and her contributions to the Star Wars expanded universe.
-
B.
Susanna Bennett
Susanna Bennett was the wife of Irish Gothic writer Sheridan Le Fanu, known primarily through her marriage to the influential Victorian author.
-
C.
Naomi Novik
Naomi Novik is an American fantasy author best known for her Temeraire series and the award-winning novels Uprooted and Spinning Silver.
-
D.
Alexandra Bracken
Alexandra Bracken is an American author best known for her young adult science fiction and fantasy novels, particularly the popular dystopian series that began with *The Darkest Minds*.
-
E.
Elizabeth Kling
Elizabeth Kling is a film editor known for her work on the fantasy-romance movie "Practical Magic."
- 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea54fb608190a147cd8aa6d6d04b |
completed | April 23, 2026, 9:45 a.m. |
Created at: April 16, 2026, 6:23 p.m.