Triple
T15561297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Warren |
E371004
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jim Warren |
E371004
|
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: Jim Warren | Statement: [Jim Warren, name, Jim Warren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Warren Context triple: [Jim Warren, name, Jim Warren]
-
A.
Jim Warren
chosen
Jim Warren is an American computer scientist and technology activist best known for founding the West Coast Computer Faire, one of the earliest and most influential personal computer expositions.
-
B.
Michael Warren
Michael Warren is an American actor best known for his role as Officer Bobby Hill on the television series "Hill Street Blues."
-
C.
Ben Warren
Ben Warren is a fictional surgical resident and former anesthesiologist on the television series "Grey's Anatomy" and its spin-off "Station 19."
-
D.
Warren Wilhelm Jr.
Warren Wilhelm Jr. is the birth name of Bill de Blasio, the American politician who served as the 109th mayor of New York City from 2014 to 2021.
-
E.
Warren Lamb
Warren Lamb was a British movement analyst and management consultant known for extending Laban’s work into a systematic method for interpreting behavior and decision-making through movement patterns.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ddb4c0c81909b3f4c75c91f7f3f |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456821988190971539b683f6c656 |
completed | May 9, 2026, 2:32 p.m. |
Created at: April 10, 2026, 4:09 a.m.