Triple
T5305627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schatz |
E120093
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Thomas Schatz
Thomas Schatz is a prominent American film scholar and author known for his influential work on Hollywood cinema and genre theory.
|
E513473
|
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: Thomas Schatz | Statement: [Schatz, hasNotableBearer, Thomas Schatz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Schatz Context triple: [Schatz, hasNotableBearer, Thomas Schatz]
-
A.
Edward Anhalt
Edward Anhalt was an American screenwriter and producer best known for his Academy Award–winning work on films such as "Panic in the Streets" and "Becket."
-
B.
Charles Schoenbaum
Charles Schoenbaum was an American cinematographer known for his work on numerous Hollywood films during the mid-20th century.
-
C.
Fred Schuler
Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
-
D.
Joseph Weishaar
Joseph Weishaar is an American architect and designer best known for winning the competition to create the National World War I Memorial in Washington, D.C.
-
E.
Karl Schaefer
Karl Schaefer is a television writer and producer best known for co-creating the zombie apocalypse series Z Nation and its Netflix prequel Black Summer.
- 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: Thomas Schatz Triple: [Schatz, hasNotableBearer, Thomas Schatz]
Generated description
Thomas Schatz is a prominent American film scholar and author known for his influential work on Hollywood cinema and genre theory.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Schatz Target entity description: Thomas Schatz is a prominent American film scholar and author known for his influential work on Hollywood cinema and genre theory.
-
A.
Edward Anhalt
Edward Anhalt was an American screenwriter and producer best known for his Academy Award–winning work on films such as "Panic in the Streets" and "Becket."
-
B.
Charles Schoenbaum
Charles Schoenbaum was an American cinematographer known for his work on numerous Hollywood films during the mid-20th century.
-
C.
Fred Schuler
Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
-
D.
Joseph Weishaar
Joseph Weishaar is an American architect and designer best known for winning the competition to create the National World War I Memorial in Washington, D.C.
-
E.
Karl Schaefer
Karl Schaefer is a television writer and producer best known for co-creating the zombie apocalypse series Z Nation and its Netflix prequel Black Summer.
- 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_69bd44704be88190acdb2ac481b0ff55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd851dd0d081909c0bf1423278ad8a |
completed | March 20, 2026, 5:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21b546a481909d18cad5ec391705 |
completed | March 21, 2026, 10:54 p.m. |
| NEDg | Description generation | batch_69bf2297d2e48190b0040420b8b76112 |
completed | March 21, 2026, 10:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf22e8286481909a828fe260f22106 |
completed | March 21, 2026, 10:59 p.m. |
Created at: March 20, 2026, 1:53 p.m.