Triple
T12060831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankenweenie (1984 short film) |
E287163
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Julie Hickson
Julie Hickson is a film producer best known for her work on Tim Burton’s early short film "Frankenweenie" (1984).
|
E1063021
|
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: Julie Hickson | Statement: [Frankenweenie (1984 short film), producer, Julie Hickson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julie Hickson Context triple: [Frankenweenie (1984 short film), producer, Julie Hickson]
-
A.
Michelle Hutcherson
Michelle Hutcherson is best known as the mother of American actor Josh Hutcherson, who has supported and accompanied him throughout his entertainment career.
-
B.
Julie Richardson
Julie Richardson is a film producer best known for her work on the acclaimed crime thriller "Collateral."
-
C.
Julie Milbury
Julie Milbury is a fictional nurse character featured in the American television series "Nurses."
-
D.
Karen Gilchrist
Karen Gilchrist is a film producer best known for her work on major studio projects including Disney’s 2019 photorealistic remake of The Lion King.
-
E.
Kelly Dombrowski
Kelly Dombrowski is an individual notable for bearing the surname Dombrowski, though specific widely recognized public achievements or roles are not well documented.
- 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: Julie Hickson Triple: [Frankenweenie (1984 short film), producer, Julie Hickson]
Generated description
Julie Hickson is a film producer best known for her work on Tim Burton’s early short film "Frankenweenie" (1984).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Julie Hickson Target entity description: Julie Hickson is a film producer best known for her work on Tim Burton’s early short film "Frankenweenie" (1984).
-
A.
Michelle Hutcherson
Michelle Hutcherson is best known as the mother of American actor Josh Hutcherson, who has supported and accompanied him throughout his entertainment career.
-
B.
Julie Richardson
Julie Richardson is a film producer best known for her work on the acclaimed crime thriller "Collateral."
-
C.
Julie Milbury
Julie Milbury is a fictional nurse character featured in the American television series "Nurses."
-
D.
Karen Gilchrist
Karen Gilchrist is a film producer best known for her work on major studio projects including Disney’s 2019 photorealistic remake of The Lion King.
-
E.
Kelly Dombrowski
Kelly Dombrowski is an individual notable for bearing the surname Dombrowski, though specific widely recognized public achievements or roles are not well documented.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9043dbccc8190bf9da181f826f0d8 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8bcbb34819088c21d79357eef8a |
completed | May 3, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69f7b974fce88190ace5030555b7b5f1 |
completed | May 3, 2026, 9:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ba936c4481908757699ff22d3904 |
completed | May 3, 2026, 9:13 p.m. |
Created at: April 8, 2026, 9:48 p.m.