Triple
T14049812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnolia Hawks |
E338055
|
entity |
| Predicate | hasRomanticRelationshipWith |
P9994
|
FINISHED |
| Object | Gaylord Ravenal |
E338056
|
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: Gaylord Ravenal | Statement: [Magnolia Hawks, hasRomanticRelationshipWith, Gaylord Ravenal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaylord Ravenal Context triple: [Magnolia Hawks, hasRomanticRelationshipWith, Gaylord Ravenal]
-
A.
Gaylord Ravenal
chosen
Gaylord Ravenal is the charming but irresponsible riverboat gambler who serves as the romantic lead in the musical "Show Boat."
-
B.
Gaylord
Gaylord is a small city in northern Michigan known for its Alpine-themed architecture and outdoor recreation opportunities.
-
C.
Gaylord
Gaylord is a masculine given name of English origin, historically used as a first or middle name in the United States and other English-speaking countries.
-
D.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
E.
LeRoy
LeRoy is the middle name of American political consultant and Republican strategist Lee Atwater.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8a518081908ad030ba48b7b946 |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb65e63b48190bd5bd4a36cd15396 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.