Triple
T16715428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy Swaggart |
E406212
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jimmy |
E878254
|
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: Jimmy | Statement: [Jimmy Swaggart, givenName, Jimmy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimmy Context triple: [Jimmy Swaggart, givenName, Jimmy]
-
A.
Jimmy
"Jimmy" is a romantic show tune from the Broadway musical Thoroughly Modern Millie, sung by the title character as she reflects on her conflicted feelings for the man she loves.
-
B.
Jimmy
chosen
Jimmy is a masculine given name, often a diminutive of James, commonly used in English-speaking countries.
-
C.
Jimmy
Jimmy is a supporting character in the dark comedy crime film "In Bruges," known for being a foul-mouthed American dwarf actor involved in the protagonists' misadventures.
-
D.
Jimmy
Jimmy is the central protagonist of "The Secret Keeper," around whom the story’s mysteries and revelations revolve.
-
E.
Jimmy
Jimmy is the given name of American actor Jimmy Smits, known for his roles in television series such as "L.A. Law," "NYPD Blue," and "The West Wing."
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38655b54c81908c2cf7b42df996a4 |
completed | April 18, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091ab9e54819097e71ce1616b28b5 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:20 a.m.