Triple
T3213318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Show Boat |
E67331
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Gaylord Ravenal
Gaylord Ravenal is the charming but irresponsible riverboat gambler who serves as the romantic lead in the musical "Show Boat."
|
E338056
|
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: Gaylord Ravenal | Statement: [Show Boat, character, Gaylord Ravenal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaylord Ravenal Context triple: [Show Boat, character, Gaylord Ravenal]
-
A.
Gaylord
Gaylord is a small city in northern Michigan known for its Alpine-themed architecture and outdoor recreation opportunities.
-
B.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
C.
Ray Brook
Ray Brook is a small hamlet in New York’s Adirondack region that serves as an administrative center for several state and environmental agencies.
-
D.
Everette
Everette is the given first name of E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
-
E.
Guston
Guston is a small village and civil parish in the Dover District of Kent, England.
- 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: Gaylord Ravenal Triple: [Show Boat, character, Gaylord Ravenal]
Generated description
Gaylord Ravenal is the charming but irresponsible riverboat gambler who serves as the romantic lead in the musical "Show Boat."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gaylord Ravenal Target entity description: Gaylord Ravenal is the charming but irresponsible riverboat gambler who serves as the romantic lead in the musical "Show Boat."
-
A.
Gaylord
Gaylord is a small city in northern Michigan known for its Alpine-themed architecture and outdoor recreation opportunities.
-
B.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
C.
Ray Brook
Ray Brook is a small hamlet in New York’s Adirondack region that serves as an administrative center for several state and environmental agencies.
-
D.
Everette
Everette is the given first name of E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
-
E.
Guston
Guston is a small village and civil parish in the Dover District of Kent, England.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaabba8e481909118d9f888ddcd63 |
completed | March 8, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b26237211c81908cddc4e8d42e497e |
completed | March 12, 2026, 6:50 a.m. |
| NEDg | Description generation | batch_69b264c446088190a1651e108279c7ba |
completed | March 12, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b265ef74d081908fe4dd4998dbf240 |
completed | March 12, 2026, 7:06 a.m. |
Created at: March 8, 2026, 3:07 p.m.