Triple
T14173565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stir of Echoes |
E351273
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Tom Witzky
Tom Witzky is a working-class Chicago lineman whose sudden psychic visions drive the supernatural mystery at the heart of the film "Stir of Echoes."
|
E1098479
|
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: Tom Witzky | Statement: [Stir of Echoes, mainCharacter, Tom Witzky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Witzky Context triple: [Stir of Echoes, mainCharacter, Tom Witzky]
-
A.
Jon Witz
Jon Witz is an American event producer and promoter best known for creating and organizing major Detroit-area festivals and community events.
-
B.
Mark Czyzewski
Mark Czyzewski is an editor known for his work on the film "Greyhound."
-
C.
Greg Wuliger
Greg Wuliger is Chris Rock’s loyal, nerdy best friend in the sitcom "Everybody Hates Chris," known for his quirky personality and unwavering support.
-
D.
Eric Wetzels
Eric Wetzels is a Dutch politician who serves as the chairperson of the People's Party for Freedom and Democracy (VVD).
-
E.
Michael Kuzak
Michael Kuzak is a central attorney character on the television legal drama "L.A. Law," known for his idealism and high-profile courtroom battles.
- 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: Tom Witzky Triple: [Stir of Echoes, mainCharacter, Tom Witzky]
Generated description
Tom Witzky is a working-class Chicago lineman whose sudden psychic visions drive the supernatural mystery at the heart of the film "Stir of Echoes."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Witzky Target entity description: Tom Witzky is a working-class Chicago lineman whose sudden psychic visions drive the supernatural mystery at the heart of the film "Stir of Echoes."
-
A.
Jon Witz
Jon Witz is an American event producer and promoter best known for creating and organizing major Detroit-area festivals and community events.
-
B.
Mark Czyzewski
Mark Czyzewski is an editor known for his work on the film "Greyhound."
-
C.
Greg Wuliger
Greg Wuliger is Chris Rock’s loyal, nerdy best friend in the sitcom "Everybody Hates Chris," known for his quirky personality and unwavering support.
-
D.
Eric Wetzels
Eric Wetzels is a Dutch politician who serves as the chairperson of the People's Party for Freedom and Democracy (VVD).
-
E.
Michael Kuzak
Michael Kuzak is a central attorney character on the television legal drama "L.A. Law," known for his idealism and high-profile courtroom battles.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b7cc3081909f4fa371e1eae130 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bb5a64c81908cb8c50bbfa239a4 |
completed | May 8, 2026, 3:42 a.m. |
| NEDg | Description generation | batch_69fd5c4520cc8190bbcb38c41e050323 |
completed | May 8, 2026, 3:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5cf86b488190b9237d7615b25f40 |
completed | May 8, 2026, 3:48 a.m. |
Created at: April 10, 2026, 1:01 a.m.