Triple
T5161793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wicked |
E116452
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | David Stone |
E215670
|
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: David Stone | Statement: [Wicked, producer, David Stone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Stone Context triple: [Wicked, producer, David Stone]
-
A.
David Stone
chosen
David Stone is a prominent American theatrical producer known for his work on acclaimed Broadway shows including the musical "Wicked."
-
B.
Michael Stone
Michael Stone is a common name shared by several notable individuals, including professionals in fields such as politics, sports, academia, and the arts.
-
C.
Philip Woodruff
Philip Woodruff was the pen name of British civil servant Philip Mason, best known for his influential writings on the British Raj and the Indian Civil Service.
-
D.
Henry Baldwin
Henry Baldwin was an Associate Justice of the U.S. Supreme Court in the early 19th century, known for his often idiosyncratic and independent judicial opinions.
-
E.
Christopher Isaac Stone
Christopher Isaac Stone, better known as Biz Stone, is an American entrepreneur and software developer best known as a co-founder of Twitter.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79268ea48190a22d3350babc153c |
completed | March 20, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed92eaed88190bfea287da442d376 |
completed | March 21, 2026, 5:45 p.m. |
Created at: March 20, 2026, 1:44 p.m.