Triple
T9701226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drake Hotel |
E234779
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object |
Tracy C. Drake
Tracy C. Drake was an American hotelier best known for developing and operating prominent Chicago luxury hotels in the early 20th century.
|
E814368
|
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: Tracy C. Drake | Statement: [Drake Hotel, founder, Tracy C. Drake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tracy C. Drake Context triple: [Drake Hotel, founder, Tracy C. Drake]
-
A.
Tracy B. Strong
Tracy B. Strong was an American political theorist known for his influential work on Nietzsche, democratic theory, and the history of political thought.
-
B.
Kaye V. Dowling
Kaye V. Dowling was the wife of American film, radio, and television actor Hugh Marlowe.
-
C.
Bonnie E. John
Bonnie E. John is a cognitive psychologist and human-computer interaction researcher known for her work on cognitive modeling and usability engineering.
-
D.
Amy E. Duddleston
Amy E. Duddleston is an American film editor known for her work on major studio features and acclaimed television series.
-
E.
Aleta A. Trauger
Aleta A. Trauger is a United States District Judge for the Middle District of Tennessee, known for notable rulings on civil rights and constitutional issues.
- 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: Tracy C. Drake Triple: [Drake Hotel, founder, Tracy C. Drake]
Generated description
Tracy C. Drake was an American hotelier best known for developing and operating prominent Chicago luxury hotels in the early 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tracy C. Drake Target entity description: Tracy C. Drake was an American hotelier best known for developing and operating prominent Chicago luxury hotels in the early 20th century.
-
A.
Tracy B. Strong
Tracy B. Strong was an American political theorist known for his influential work on Nietzsche, democratic theory, and the history of political thought.
-
B.
Kaye V. Dowling
Kaye V. Dowling was the wife of American film, radio, and television actor Hugh Marlowe.
-
C.
Bonnie E. John
Bonnie E. John is a cognitive psychologist and human-computer interaction researcher known for her work on cognitive modeling and usability engineering.
-
D.
Amy E. Duddleston
Amy E. Duddleston is an American film editor known for her work on major studio features and acclaimed television series.
-
E.
Aleta A. Trauger
Aleta A. Trauger is a United States District Judge for the Middle District of Tennessee, known for notable rulings on civil rights and constitutional issues.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d70f55c8190934f37c25e9d4ba4 |
completed | April 1, 2026, 10:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1912e645881908d223a93f3ee61da |
completed | April 4, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69d191ea02e8819097e5a4247a8084f6 |
completed | April 4, 2026, 10:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d19251095881909272c53c026b2ad1 |
completed | April 4, 2026, 10:36 p.m. |
Created at: March 30, 2026, 8:18 p.m.