Triple
T12420340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sybil Thorndike |
E296751
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Thorndike |
E543622
|
NE FINISHED |
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: Thorndike | Statement: [Sybil Thorndike, familyName, Thorndike]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thorndike Context triple: [Sybil Thorndike, familyName, Thorndike]
-
A.
Thorndike
chosen
Thorndike is a surname most notably associated with Edward L. Thorndike, an influential American psychologist known for his work on learning theory and the law of effect.
-
B.
Tolman
Tolman is a surname most notably associated with Richard C. Tolman, an American physicist and physical chemist known for his work in statistical mechanics and cosmology.
-
C.
Sprague-Thomson
Sprague-Thomson was a long-serving class of steel-bodied electric multiple units used on the Paris Métro from the early 20th century until their gradual replacement in the late 20th century.
-
D.
Bridgman
Bridgman is a surname most notably associated with American physicist and Nobel laureate Percy Williams Bridgman, a pioneer in high-pressure physics.
-
E.
Skinner
Skinner is a fictional member of the J-Squad military unit in the science fiction film "Edge of Tomorrow."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6efd748190a5d9396a343e41e1 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f634933b9881909fd592ede7c3e49c |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.