Triple
T3309380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walt Wolfram |
E69532
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Walt Wolfram |
E69532
|
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: Walt Wolfram | Statement: [Walt Wolfram, name, Walt Wolfram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walt Wolfram Context triple: [Walt Wolfram, name, Walt Wolfram]
-
A.
Walt Wolfram
chosen
Walt Wolfram is an American sociolinguist renowned for his pioneering research on American English dialects and language variation, including minority and regional varieties.
-
B.
Philip Bruns
Philip Bruns was an American character actor best known for his television and film roles in the 1970s and 1980s, including his work on the satirical soap opera "Mary Hartman, Mary Hartman."
-
C.
Joseph Williams
Joseph Williams is an American singer, songwriter, and composer best known as the lead vocalist of the rock band Toto and the son of famed film composer John Williams.
-
D.
Gary K. Wolf
Gary K. Wolf is an American author best known for creating the character Roger Rabbit and writing the novel that inspired the film "Who Framed Roger Rabbit."
-
E.
Andrew Barto
Andrew Barto is an American computer scientist and a pioneering researcher in reinforcement learning, known for co-authoring the influential textbook "Reinforcement Learning: An Introduction."
- 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_69ad859f218081909458d2cebbf57565 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0e9f33c81909cff835a83e0a657 |
completed | March 8, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3edc0c081908a7f5c02fe18584b |
completed | March 12, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:11 p.m.