Triple
T14630889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grosse Pointe Blank |
E343474
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Steve Pink |
E828081
|
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: Steve Pink | Statement: [Grosse Pointe Blank, screenwriter, Steve Pink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Pink Context triple: [Grosse Pointe Blank, screenwriter, Steve Pink]
-
A.
Steve Pink
chosen
Steve Pink is an American screenwriter, director, and producer best known for co-writing the film "High Fidelity" and directing comedies such as "Hot Tub Time Machine."
-
B.
Larry Hillblom
Larry Hillblom was an American businessman and entrepreneur best known as a co-founder of the global logistics and courier company DHL.
-
C.
Jon Bass
Jon Bass is an American actor and comedian known for his supporting roles in films and television, including the 2017 action-comedy adaptation of Baywatch.
-
D.
Mark Hoffman
Mark Hoffman is a fictional serial killer and primary antagonist in the "Saw" horror film franchise, known for continuing Jigsaw’s deadly games.
-
E.
Mark Hoffman
Mark Hoffman is an American technology executive best known as a co-founder and early leader of the database software company Sybase.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4a912248190a3df7f821395c776 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda92ded848190b031d3ff29e54a00 |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:26 a.m.