Triple
T18855274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sorcerer's Daughter |
E461155
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Terry Brooks |
—
|
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: Terry Brooks | Statement: [The Sorcerer's Daughter, author, Terry Brooks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terry Brooks Context triple: [The Sorcerer's Daughter, author, Terry Brooks]
-
A.
Terry Brooks
chosen
Terry Brooks is a bestselling American fantasy author best known for his long-running Shannara series.
-
B.
Ed Greenwood
Ed Greenwood is a Canadian fantasy author and game designer best known for creating the Dungeons & Dragons campaign setting Forgotten Realms.
-
C.
Glen Cook
Glen Cook was a prominent early Pentecostal leader and evangelist associated with the Azusa Street Revival in Los Angeles in the early 20th century.
-
D.
Carl Wagner
Carl Wagner was a prominent physical chemist and materials scientist known for his foundational work in diffusion, oxidation, and defect chemistry in solids.
-
E.
Rand Brooks
Rand Brooks was an American film and television actor best known for his roles in classic Hollywood productions such as "Gone with the Wind" and numerous Westerns.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05c16e88190a08b6a8b94e1c9f9 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:57 a.m.