Triple
T906177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seiji Ozawa Hall |
E19553
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object |
William Rawn
William Rawn is an American architect known for designing prominent cultural and educational buildings, including acclaimed performance spaces.
|
E213526
|
NE FINISHED |
How this triple was built (4 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: William Rawn | Statement: [Seiji Ozawa Hall, architect, William Rawn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Rawn Context triple: [Seiji Ozawa Hall, architect, William Rawn]
-
A.
Robert Hodgen
Robert Hodgen was an early settler and landowner in central Kentucky whose name was given to the town of Hodgenville.
-
B.
Thomas Parkhurst
Thomas Parkhurst was a 17th-century London bookseller and publisher known for issuing prominent Puritan and religious works.
-
C.
Victor A. Crutchley
Victor A. Crutchley was a British Royal Navy admiral and Victoria Cross recipient who served with distinction in both World Wars.
-
D.
William Wellington Cairns
William Wellington Cairns was a 19th-century British colonial administrator who served as Governor of Queensland, after whom the Australian city of Cairns is named.
-
E.
Richard Lumsden
Richard Lumsden is a British actor, writer, and composer known for his work in television, film, and theatre.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: William Rawn Triple: [Seiji Ozawa Hall, architect, William Rawn]
Generated description
William Rawn is an American architect known for designing prominent cultural and educational buildings, including acclaimed performance spaces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: William Rawn Target entity description: William Rawn is an American architect known for designing prominent cultural and educational buildings, including acclaimed performance spaces.
-
A.
Robert Hodgen
Robert Hodgen was an early settler and landowner in central Kentucky whose name was given to the town of Hodgenville.
-
B.
Thomas Parkhurst
Thomas Parkhurst was a 17th-century London bookseller and publisher known for issuing prominent Puritan and religious works.
-
C.
Victor A. Crutchley
Victor A. Crutchley was a British Royal Navy admiral and Victoria Cross recipient who served with distinction in both World Wars.
-
D.
William Wellington Cairns
William Wellington Cairns was a 19th-century British colonial administrator who served as Governor of Queensland, after whom the Australian city of Cairns is named.
-
E.
Richard Lumsden
Richard Lumsden is a British actor, writer, and composer known for his work in television, film, and theatre.
- F. None of above. chosen
Provenance (5 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2cc85a08190bc8186eb9ed1fa38 |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeab03e388190b7b5c7c5802bf3c1 |
completed | March 8, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69adeb8a0a64819087e4505089e93093 |
completed | March 8, 2026, 9:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adec6fcaac8190b43d0cd1aa613c95 |
completed | March 8, 2026, 9:38 p.m. |
Created at: March 1, 2026, 7:39 p.m.