Triple
T14630885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grosse Pointe Blank |
E343474
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Lloyd Segan |
E1076274
|
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: Lloyd Segan | Statement: [Grosse Pointe Blank, producer, Lloyd Segan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lloyd Segan Context triple: [Grosse Pointe Blank, producer, Lloyd Segan]
-
A.
Lloyd Segan
chosen
Lloyd Segan is an American television and film producer known for his work on genre and suspense projects, including the 2001 horror film "Bones."
-
B.
Glenn Berger
Glenn Berger is an American screenwriter best known for co-writing major animated films such as the Kung Fu Panda series.
-
C.
Gary Tinterow
Gary Tinterow is an American art historian and museum curator best known for leading the Museum of Fine Arts, Houston and for his scholarship on 19th-century European art.
-
D.
Vern Schillinger
Vern Schillinger is a fictional white supremacist prison leader and one of the primary antagonists on the HBO series "Oz," portrayed by actor J.K. Simmons.
-
E.
Michael Vavitch
Michael Vavitch was a silent-era film actor known for his role in the 1924 drama "The Red Lily."
- 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_69ff82dfbc28819090cf56f16b5e7c39 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 1:26 a.m.