Triple
T16100574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy Smith Jr. |
E390608
|
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 Smith Jr., givenName, Jimmy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimmy Context triple: [Jimmy Smith Jr., givenName, Jimmy]
-
A.
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."
-
B.
Jimmy
Jimmy is a timid, imaginative, and often melodramatic young boy from the animated series "Ed, Edd n Eddy," known for his close friendship with Sarah and frequent misadventures.
-
C.
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.
-
D.
Jimmy
chosen
Jimmy is a masculine given name, often a diminutive of James, commonly used in English-speaking countries.
-
E.
Jimmy
Jimmy is a supporting character in the 1980s crime drama series "The Equalizer," appearing in stories centered on vigilante justice and urban crime.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6756948190a7f5ecb375e59701 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff29f9f2881909b96860ee23d8ada |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5 a.m.