Triple
T32284343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eloise Jarvis McGraw |
E824783
|
entity |
| Predicate | contributedToSeries |
P193213
|
FINISHED |
| Object | Oz book series |
—
|
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: Oz book series | Statement: [Eloise Jarvis McGraw, contributedToSeries, Oz book series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contributedToSeries Context triple: [Eloise Jarvis McGraw, contributedToSeries, Oz book series]
-
A.
seriesContributedTo
chosen
Indicates that an entity has contributed content, work, or participation to a particular series.
-
B.
workedOnSeries
Indicates that an entity contributed work to the creation or production of a particular series.
-
C.
awardedToSeries
Indicates that an award or honor has been given to a particular series.
-
D.
producedSeriesFor
Indicates that one entity created or was responsible for producing a series (such as a TV, web, or media series) for another entity.
-
E.
notableSeriesContribution
Indicates that an entity has made a significant or distinguished contribution to a particular series (such as a publication, show, or collection).
- F. None of above.
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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe0d165a48819098b854318a50d76c |
completed | May 8, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69fe0931002481908a95b34f95e9f64e |
completed | May 8, 2026, 4:02 p.m. |
Created at: May 1, 2026, 12:43 a.m.