Triple
T12958877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love, Victor |
E310084
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Adam Fishbach
Adam Fishbach is a television producer best known for his executive production work on the teen dramedy series "Love, Victor."
|
E1017052
|
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: Adam Fishbach | Statement: [Love, Victor, executiveProducer, Adam Fishbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Fishbach Context triple: [Love, Victor, executiveProducer, Adam Fishbach]
-
A.
Bryan Greenberg
Bryan Greenberg is an American actor and singer best known for his roles in television series like "One Tree Hill" and "How to Make It in America," as well as various romantic comedies.
-
B.
Matt Greenberg
Matt Greenberg is a screenwriter and film producer known for his work on various horror and thriller projects in American cinema.
-
C.
Josh Weinstock
Josh Weinstock is a film and television producer known for his work on projects such as the drama "Nightingale."
-
D.
Jeff Kirschenbaum
Jeff Kirschenbaum is a Hollywood film producer known for working on major studio features, including big-budget family and action movies.
-
E.
Josh Baskin
Josh Baskin is the young boy who magically becomes an adult overnight and navigates the adult world with childlike innocence in the film "Big."
- 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: Adam Fishbach Triple: [Love, Victor, executiveProducer, Adam Fishbach]
Generated description
Adam Fishbach is a television producer best known for his executive production work on the teen dramedy series "Love, Victor."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adam Fishbach Target entity description: Adam Fishbach is a television producer best known for his executive production work on the teen dramedy series "Love, Victor."
-
A.
Bryan Greenberg
Bryan Greenberg is an American actor and singer best known for his roles in television series like "One Tree Hill" and "How to Make It in America," as well as various romantic comedies.
-
B.
Matt Greenberg
Matt Greenberg is a screenwriter and film producer known for his work on various horror and thriller projects in American cinema.
-
C.
Josh Weinstock
Josh Weinstock is a film and television producer known for his work on projects such as the drama "Nightingale."
-
D.
Jeff Kirschenbaum
Jeff Kirschenbaum is a Hollywood film producer known for working on major studio features, including big-budget family and action movies.
-
E.
Josh Baskin
Josh Baskin is the young boy who magically becomes an adult overnight and navigates the adult world with childlike innocence in the film "Big."
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e2e44908190bb8b43fc5c3b8a8a |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbc0b8188190a6a40bb4edf53e25 |
completed | May 3, 2026, 4:14 a.m. |
| NEDg | Description generation | batch_69f6cd0d21e08190855dcbee000fc25d |
completed | May 3, 2026, 4:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ce6b220c8190b1f49a9b2bfce692 |
completed | May 3, 2026, 4:26 a.m. |
Created at: April 9, 2026, 5:44 p.m.