Triple
T13274126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panic in Year Zero! |
E316142
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Lou Place
Lou Place was an American film producer and director active in mid-20th-century cinema.
|
E1030234
|
NE FINISHED |
How this triple was built (4 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: Lou Place | Statement: [Panic in Year Zero!, producer, Lou Place]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lou Place Context triple: [Panic in Year Zero!, producer, Lou Place]
-
A.
Tamblyn
Tamblyn is the surname of American actress, writer, and director Amber Tamblyn, known for her roles in film and television and her work as a poet and author.
-
B.
L. A. Dunton
L. A. Dunton is a historic fishing schooner preserved as a museum ship at Mystic Seaport in Connecticut.
-
C.
Orry Main
Orry Main is a fictional Southern plantation owner and Confederate officer who serves as one of the central protagonists in John Jakes’s *North and South* saga and its television miniseries adaptation.
-
D.
Linden Ashby
Linden Ashby is an American actor best known for his roles in films like Mortal Kombat and television series such as Melrose Place and Teen Wolf.
-
E.
Lecy Goranson
Lecy Goranson is an American actress best known for playing Becky Conner on the sitcom "Roseanne" and its revival.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lou Place Triple: [Panic in Year Zero!, producer, Lou Place]
Generated description
Lou Place was an American film producer and director active in mid-20th-century cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lou Place Target entity description: Lou Place was an American film producer and director active in mid-20th-century cinema.
-
A.
Tamblyn
Tamblyn is the surname of American actress, writer, and director Amber Tamblyn, known for her roles in film and television and her work as a poet and author.
-
B.
L. A. Dunton
L. A. Dunton is a historic fishing schooner preserved as a museum ship at Mystic Seaport in Connecticut.
-
C.
Orry Main
Orry Main is a fictional Southern plantation owner and Confederate officer who serves as one of the central protagonists in John Jakes’s *North and South* saga and its television miniseries adaptation.
-
D.
Linden Ashby
Linden Ashby is an American actor best known for his roles in films like Mortal Kombat and television series such as Melrose Place and Teen Wolf.
-
E.
Lecy Goranson
Lecy Goranson is an American actress best known for playing Becky Conner on the sitcom "Roseanne" and its revival.
- F. None of above. chosen
Provenance (5 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9904193bc8190af4155750bcf32f6 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a51d458819080b8c8f3a4df0f52 |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70b117c588190bb81ff53664cac4a |
completed | May 3, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70c04da34819091e01db25741674e |
completed | May 3, 2026, 8:49 a.m. |
Created at: April 9, 2026, 9:26 p.m.