Triple
T20391040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghost in the Machine |
E498083
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Jack Laufer
Jack Laufer is an actor known for his role in the science fiction film "Ghost in the Machine."
|
E1552787
|
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: Jack Laufer | Statement: [Ghost in the Machine, hasCastMember, Jack Laufer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Laufer Context triple: [Ghost in the Machine, hasCastMember, Jack Laufer]
-
A.
Jesse Landau
Jesse Landau is known primarily as the child of acclaimed American film producer Jon Landau, associated with blockbuster films like Titanic and Avatar.
-
B.
Jon Feldman
Jon Feldman is an American television writer and producer known for his work on various drama series.
-
C.
Leo Nessinger
Leo Nessinger is a musician best known for being an early member of the American rock band Halestorm before their rise to mainstream success.
-
D.
Jan Friedman
Jan Friedman is a member of the Friedman family, known primarily as the child of economist Rose Friedman and thus part of a prominent lineage in economic thought.
-
E.
Lou Hirsch
Lou Hirsch is an American actor and voice actor best known for his work in film, television, and animation, including prominent roles in 1980s and 1990s productions.
- 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: Jack Laufer Triple: [Ghost in the Machine, hasCastMember, Jack Laufer]
Generated description
Jack Laufer is an actor known for his role in the science fiction film "Ghost in the Machine."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jack Laufer Target entity description: Jack Laufer is an actor known for his role in the science fiction film "Ghost in the Machine."
-
A.
Jesse Landau
Jesse Landau is known primarily as the child of acclaimed American film producer Jon Landau, associated with blockbuster films like Titanic and Avatar.
-
B.
Jon Feldman
Jon Feldman is an American television writer and producer known for his work on various drama series.
-
C.
Leo Nessinger
Leo Nessinger is a musician best known for being an early member of the American rock band Halestorm before their rise to mainstream success.
-
D.
Jan Friedman
Jan Friedman is a member of the Friedman family, known primarily as the child of economist Rose Friedman and thus part of a prominent lineage in economic thought.
-
E.
Lou Hirsch
Lou Hirsch is an American actor and voice actor best known for his work in film, television, and animation, including prominent roles in 1980s and 1990s productions.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790f8d9c819093038f6bb6f47a92 |
completed | April 20, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b97fc2600819085486a9d540c9df3 |
completed | May 18, 2026, 10:51 p.m. |
| NEDg | Description generation | batch_6a0b9884cb548190958d16f42be4bea8 |
completed | May 18, 2026, 10:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b98e7887881909ec9cc4a2a2167c5 |
completed | May 18, 2026, 10:55 p.m. |
Created at: April 16, 2026, 11:28 a.m.