Triple
T15063971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Babysitter |
E379707
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Peter Gvozdas
Peter Gvozdas is a film editor known for his work on the movie "The Babysitter."
|
E1141991
|
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: Peter Gvozdas | Statement: [The Babysitter, editedBy, Peter Gvozdas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Gvozdas Context triple: [The Babysitter, editedBy, Peter Gvozdas]
-
A.
Joe Pisarcik
Joe Pisarcik is a former NFL quarterback best known for his infamous late-game fumble in 1978 that led to the "Miracle at the Meadowlands."
-
B.
Philip LaZebnik
Philip LaZebnik is an American screenwriter and playwright best known for his work on animated feature films such as Disney’s "Mulan" and "Pocahontas" and DreamWorks’ "The Prince of Egypt."
-
C.
Denis Kosiak
Denis Kosiak is a music producer best known for his work on the project American Teen.
-
D.
Roman Podhora
Roman Podhora is a Canadian actor known for his work in film and television, including roles in genre and action projects.
-
E.
Vladimir Smicer
Vladimir Šmicer is a retired Czech attacking midfielder best known for scoring in Liverpool’s dramatic comeback victory over AC Milan in the 2005 UEFA Champions League Final, known as the “Miracle of Istanbul.”
- 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: Peter Gvozdas Triple: [The Babysitter, editedBy, Peter Gvozdas]
Generated description
Peter Gvozdas is a film editor known for his work on the movie "The Babysitter."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Gvozdas Target entity description: Peter Gvozdas is a film editor known for his work on the movie "The Babysitter."
-
A.
Joe Pisarcik
Joe Pisarcik is a former NFL quarterback best known for his infamous late-game fumble in 1978 that led to the "Miracle at the Meadowlands."
-
B.
Philip LaZebnik
Philip LaZebnik is an American screenwriter and playwright best known for his work on animated feature films such as Disney’s "Mulan" and "Pocahontas" and DreamWorks’ "The Prince of Egypt."
-
C.
Denis Kosiak
Denis Kosiak is a music producer best known for his work on the project American Teen.
-
D.
Roman Podhora
Roman Podhora is a Canadian actor known for his work in film and television, including roles in genre and action projects.
-
E.
Vladimir Smicer
Vladimir Šmicer is a retired Czech attacking midfielder best known for scoring in Liverpool’s dramatic comeback victory over AC Milan in the 2005 UEFA Champions League Final, known as the “Miracle of Istanbul.”
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee803ac81908bb7d66e49c2eb72 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec878c52c8190bf010b1fd4d21f65 |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69fecc54e7a08190bcdc6a53508dd9e7 |
completed | May 9, 2026, 5:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feccca7d908190b0be236cf18e7b4c |
completed | May 9, 2026, 5:57 a.m. |
Created at: April 10, 2026, 3:02 a.m.