Triple
T275655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Durst Organization |
E5243
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Joseph Durst |
E35918
|
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: Joseph Durst | Statement: [The Durst Organization, founder, Joseph Durst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Durst Context triple: [The Durst Organization, founder, Joseph Durst]
-
A.
Joseph Durst
chosen
Joseph Durst was a prominent New York City real estate developer and patriarch of the Durst family, known for building one of the city’s major real estate empires.
-
B.
Rich Gotham
Rich Gotham is an American sports executive best known for serving as the president of the NBA’s Boston Celtics.
-
C.
Tom Canty
Tom Canty is the impoverished London boy who swaps identities with Prince Edward in Mark Twain’s novel "The Prince and the Pauper," highlighting themes of class and social injustice.
-
D.
Felix Unger
Felix Unger is an Austrian cardiac surgeon and academic known for co-founding and leading the European Academy of Sciences and Arts.
-
E.
Don Ivan Punchatz
Don Ivan Punchatz was an American illustrator and painter renowned for his imaginative science fiction and fantasy artwork, including iconic book covers and magazine illustrations.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25dd1cdf881909c2c9b77b7f88684 |
completed | Feb. 28, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a394a13b688190951b070facd01d8c |
completed | March 1, 2026, 1:21 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.