Triple
T18783032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Collins |
E459306
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jim Collins |
—
|
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: Jim Collins | Statement: [Jim Collins, name, Jim Collins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Collins Context triple: [Jim Collins, name, Jim Collins]
-
A.
Jim Collins
chosen
Jim Collins is an American business consultant and author best known for his influential management books such as "Good to Great" and "Built to Last."
-
B.
Jack Welch
Jack Welch was a prominent American business executive best known for his transformative and often controversial tenure as CEO of General Electric from 1981 to 2001.
-
C.
John Maxwell
John Maxwell was a prominent Scottish film producer and studio executive who played a major role in the British film industry during the early 20th century.
-
D.
Charles H. O’Reilly Jr.
Charles H. O’Reilly Jr. is an American businessman and co-founder of O’Reilly Auto Parts, a major U.S. automotive aftermarket retail chain.
-
E.
Ken Blanchard
Ken Blanchard is an American author, speaker, and management expert best known for co-authoring the influential leadership book "The One Minute Manager."
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5977f34e48190a9932af330ea4f92 |
completed | April 20, 2026, 3:03 a.m. |
Created at: April 10, 2026, 11:52 a.m.