Triple
T1336788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyly Theatre |
E28769
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Joshua Prince-Ramus |
E146705
|
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: Joshua Prince-Ramus | Statement: [Wyly Theatre, architect, Joshua Prince-Ramus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joshua Prince-Ramus Context triple: [Wyly Theatre, architect, Joshua Prince-Ramus]
-
A.
Joshua Prince-Ramus
chosen
Joshua Prince-Ramus is an American architect known for his innovative, high-profile public and cultural buildings and for co-founding the firm REX after his work with Rem Koolhaas at OMA.
-
B.
Andrew Miano
Andrew Miano is an American film producer known for his work on independent and critically acclaimed movies, often collaborating with director Tom Ford and others.
-
C.
Joshua Michael Stern
Joshua Michael Stern is an American film director and screenwriter known for helming biographical and dramatic feature films.
-
D.
Noah Sorota
Noah Sorota is a film and television composer best known for scoring the science-fiction series "Falling Skies."
-
E.
Joshuah Bearman
Joshuah Bearman is an American journalist and author known for his long-form narrative nonfiction, including the article that inspired the film "Argo."
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1edda1c81909a1149b254b0d57e |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1594f94c8190bb6d3dc40534382e |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 7:55 p.m.