Triple
T22574301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V/H/S |
E544351
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Zak Zeman
Zak Zeman is a film producer best known for his work on the horror anthology franchise "V/H/S."
|
E1543084
|
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: Zak Zeman | Statement: [V/H/S, producer, Zak Zeman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zak Zeman Context triple: [V/H/S, producer, Zak Zeman]
-
A.
Will Znidaric
Will Znidaric is a film editor known for his work on projects such as the documentary "Love, Antosha."
-
B.
Len Kaminski
Len Kaminski is an American comic book writer best known for his work at Marvel Comics in the 1990s, particularly on Iron Man-related titles and other superhero series.
-
C.
Peter Vermes
Peter Vermes is an American soccer coach and former defender best known for his long tenure leading Sporting Kansas City in Major League Soccer.
-
D.
Sigi Schmid
Sigi Schmid was a highly successful German-American soccer coach best known for leading MLS clubs like the LA Galaxy, Columbus Crew, and Seattle Sounders to multiple league titles and trophies.
-
E.
Brendan Rogers
Brendan Rogers is a Northern Irish football manager and former player best known for managing clubs such as Liverpool, Celtic, and Leicester City.
- 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: Zak Zeman Triple: [V/H/S, producer, Zak Zeman]
Generated description
Zak Zeman is a film producer best known for his work on the horror anthology franchise "V/H/S."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zak Zeman Target entity description: Zak Zeman is a film producer best known for his work on the horror anthology franchise "V/H/S."
-
A.
Will Znidaric
Will Znidaric is a film editor known for his work on projects such as the documentary "Love, Antosha."
-
B.
Len Kaminski
Len Kaminski is an American comic book writer best known for his work at Marvel Comics in the 1990s, particularly on Iron Man-related titles and other superhero series.
-
C.
Peter Vermes
Peter Vermes is an American soccer coach and former defender best known for his long tenure leading Sporting Kansas City in Major League Soccer.
-
D.
Sigi Schmid
Sigi Schmid was a highly successful German-American soccer coach best known for leading MLS clubs like the LA Galaxy, Columbus Crew, and Seattle Sounders to multiple league titles and trophies.
-
E.
Brendan Rogers
Brendan Rogers is a Northern Irish football manager and former player best known for managing clubs such as Liverpool, Celtic, and Leicester City.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fec296481908a6101b02e5bedaa |
completed | April 29, 2026, 1:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d7ad7888190b2815c074475d932 |
completed | May 18, 2026, 3:17 p.m. |
| NEDg | Description generation | batch_6a0b3648cb208190b749e343c3d5c88d |
completed | May 18, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b37002120819097bf1f6e56b6afe5 |
completed | May 18, 2026, 3:57 p.m. |
Created at: April 16, 2026, 8:53 p.m.