Triple
T22171949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Six |
E547941
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Robert Six |
—
|
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 Six | Statement: [Robert Six, name, Robert Six]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Six Context triple: [Robert Six, name, Robert Six]
-
A.
Robert Six
chosen
Robert Six was an influential American airline executive best known for transforming Continental Airlines into a major national carrier in the mid-20th century.
-
B.
Ronald J. Grabe
Ronald J. Grabe is a former NASA astronaut and U.S. Air Force colonel who piloted and commanded multiple Space Shuttle missions.
-
C.
Gregory Nussbaum
Gregory Nussbaum is a film editor known for his work on the 2008 comic-book adaptation "The Spirit."
-
D.
Leonard Ripps
Leonard Ripps is an American screenwriter best known for co-writing the infamous 1978 television variety program "The Star Wars Holiday Special."
-
E.
Leonard Ripps
Leonard Ripps is an American screenwriter best known for co-writing Tim Burton’s 1984 short film "Frankenweenie."
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a68c26c8190b1258595bd96cb63 |
completed | April 28, 2026, 9:45 p.m. |
Created at: April 16, 2026, 8:34 p.m.