Triple
T20177991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R. L. Stine |
E492650
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Robert Lawrence Stine |
—
|
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: Robert Lawrence Stine | Statement: [R. L. Stine, birthName, Robert Lawrence Stine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Lawrence Stine Context triple: [R. L. Stine, birthName, Robert Lawrence Stine]
-
A.
R. L. Stine
chosen
R. L. Stine is an American author best known for creating the popular children's horror book series "Goosebumps."
-
B.
Dean Koontz
Dean Koontz is a bestselling American author known for his suspenseful thrillers that blend horror, mystery, and science fiction elements.
-
C.
Rex Koontz
Rex Koontz is an art historian and scholar specializing in ancient Mesoamerican art and archaeology, known for his collaborative work on influential studies of pre-Columbian cultures.
-
D.
Iann Barron
Iann Barron is a British computer engineer and entrepreneur best known for founding the pioneering parallel computing company Inmos and helping develop the transputer microprocessor.
-
E.
James Herbert
James Herbert is a film editor known for his work on major feature films, including the fantasy action movie "King Arthur: Legend of the Sword."
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668ec4d7c81909fa4bdc58ed54aeb |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.