Triple
T6134878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Blue Gardenia |
E136807
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Charles Hoffman |
E396442
|
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: Charles Hoffman | Statement: [The Blue Gardenia, screenwriter, Charles Hoffman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Hoffman Context triple: [The Blue Gardenia, screenwriter, Charles Hoffman]
-
A.
Charles Hoffman
chosen
Charles Hoffman is a relatively obscure individual whose specific notability is not clearly identifiable from the given information alone.
-
B.
Thomas Hoffman
Thomas Hoffman is a relatively obscure individual whose name is shared with several people across different professions, making it difficult to attribute a single widely recognized identity to him.
-
C.
William Hoffman
William Hoffman is a relatively common personal name shared by multiple notable individuals across fields such as literature, politics, and the arts.
-
D.
Paul Hoffman
Paul Hoffman is a common name shared by several notable individuals, including authors, journalists, and public figures across various fields.
-
E.
Thomas F. Hofmann
Thomas F. Hofmann is a German food chemist and academic leader who serves as president of the Technical University of Munich.
- 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c80a6088190a028967b682fed2b |
completed | March 22, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d035e9c8190bd9978987833ff3c |
completed | March 27, 2026, 7:08 a.m. |
Created at: March 22, 2026, 4:15 p.m.