Triple
T3056288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hocus Pocus |
E60487
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Omri Katz
Omri Katz is an American former child actor best known for playing Max Dennison in the 1993 Disney film "Hocus Pocus."
|
E323394
|
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: Omri Katz | Statement: [Hocus Pocus, portrayedBy, Omri Katz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omri Katz Context triple: [Hocus Pocus, portrayedBy, Omri Katz]
-
A.
Roni Ashuri
Roni Ashuri is an entrepreneur and technology executive best known as a founder of the Israeli high-performance networking company Mellanox Technologies.
-
B.
Yoni Brenner
Yoni Brenner is a screenwriter and humorist known for his work on animated films, including contributing to the screenplay of "Rio 2."
-
C.
Saar Klein
Saar Klein is a film editor known for his work on major Hollywood productions, including action and drama films.
-
D.
Alona Tal
Alona Tal is an Israeli-American actress and singer known for her roles in television series such as "Veronica Mars," "Supernatural," and "Hand of God."
-
E.
Ilan Eshkeri
Ilan Eshkeri is a British composer known for his orchestral film scores and collaborations on movies, television, and video games.
- 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: Omri Katz Triple: [Hocus Pocus, portrayedBy, Omri Katz]
Generated description
Omri Katz is an American former child actor best known for playing Max Dennison in the 1993 Disney film "Hocus Pocus."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Omri Katz Target entity description: Omri Katz is an American former child actor best known for playing Max Dennison in the 1993 Disney film "Hocus Pocus."
-
A.
Roni Ashuri
Roni Ashuri is an entrepreneur and technology executive best known as a founder of the Israeli high-performance networking company Mellanox Technologies.
-
B.
Yoni Brenner
Yoni Brenner is a screenwriter and humorist known for his work on animated films, including contributing to the screenplay of "Rio 2."
-
C.
Saar Klein
Saar Klein is a film editor known for his work on major Hollywood productions, including action and drama films.
-
D.
Alona Tal
Alona Tal is an Israeli-American actress and singer known for her roles in television series such as "Veronica Mars," "Supernatural," and "Hand of God."
-
E.
Ilan Eshkeri
Ilan Eshkeri is a British composer known for his orchestral film scores and collaborations on movies, television, and video games.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9bf7ebd48190ad5748a18fa9a56a |
completed | March 8, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef0671e48190a793f907cc211dd8 |
completed | March 11, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69b1efcf4da08190a9fd5fd88bba0358 |
completed | March 11, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f1ce72388190871884c99526057d |
completed | March 11, 2026, 10:50 p.m. |
Created at: March 8, 2026, 3:02 p.m.