Triple
T15377802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agent Whiskey |
E367713
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Jane Goldman |
E48817
|
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: Jane Goldman | Statement: [Agent Whiskey, createdBy, Jane Goldman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Goldman Context triple: [Agent Whiskey, createdBy, Jane Goldman]
-
A.
Jane Goldman
chosen
Jane Goldman is a British screenwriter, author, and producer known for co-writing hit films such as "Kick-Ass," "X-Men: First Class," and "Kingsman: The Secret Service."
-
B.
Jenny Goldman
Jenny Goldman is the daughter of American playwright and screenwriter James Goldman, known for works such as "The Lion in Winter."
-
C.
Ann Goldstein
Ann Goldstein is an American literary translator best known for bringing Elena Ferrante’s Neapolitan novels and other major works of Italian literature into English.
-
D.
Lena Goldman
Lena Goldman was the wife of prominent New Jersey attorney and politician David T. Wilentz, noted for her role within a well-known American Jewish political family.
-
E.
Ruby Goldstein
Ruby Goldstein was a prominent American boxing referee and former fighter known for officiating major bouts in the mid-20th century.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5ece1081908d7c1289258b9c1f |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b56dd1c81909a3933330e85fe0e |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.