Triple
T14126101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Blees |
E340037
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Robert Blees |
E340037
|
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: Robert Blees | Statement: [Robert Blees, name, Robert Blees]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Blees Context triple: [Robert Blees, name, Robert Blees]
-
A.
Robert Blees
chosen
Robert Blees was an American screenwriter and producer known for his work on mid-20th-century Hollywood films and television series.
-
B.
Leonard Bleecker
Leonard Bleecker was an early American broker and financier known for being among the original founders of what became the New York Stock Exchange.
-
C.
Edward Leede
Edward Leede was a notable Dartmouth College basketball player and benefactor after whom Dartmouth’s Leede Arena is named.
-
D.
Marshall Blechtman
Marshall Blechtman is a quirky, socially awkward high school student and one of the central teen characters in the early-1980s sitcom "Square Pegs."
-
E.
Joseph Weishaar
Joseph Weishaar is an American architect and designer best known for winning the competition to create the National World War I Memorial in Washington, D.C.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6096976481909dc79066c5165a50 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7e2b0248190ba40aa8395355052 |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:22 p.m.