Triple
T30663397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Case Study Houses |
E780591
|
entity |
| Predicate | hasNotableExample |
P1259
|
FINISHED |
| Object |
Case Study House No. 22 (Stahl House)
Case Study House No. 22 (Stahl House) is an iconic mid-century modern glass-and-steel residence in Los Angeles, celebrated for its dramatic hillside setting and influential architectural design by Pierre Koenig.
|
E1927215
|
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: Case Study House No. 22 (Stahl House) | Statement: [Case Study Houses, hasNotableExample, Case Study House No. 22 (Stahl House)]
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: Case Study House No. 22 (Stahl House) Triple: [Case Study Houses, hasNotableExample, Case Study House No. 22 (Stahl House)]
Generated description
Case Study House No. 22 (Stahl House) is an iconic mid-century modern glass-and-steel residence in Los Angeles, celebrated for its dramatic hillside setting and influential architectural design by Pierre Koenig.
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_69f224a6d10481909290be1a00fc83b3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68ae29de08190be2cd4d95c0fa0a4 |
completed | May 2, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2870f487ac81908ad32e2e01293da6 |
completed | June 9, 2026, 8 p.m. |
| NEDg | Description generation | batch_6a287b9244208190a5ba310eb9701954 |
completed | June 9, 2026, 8:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a287c039b08819083634e7c1b3c1939 |
completed | June 9, 2026, 8:48 p.m. |
Created at: April 29, 2026, 8:31 p.m.