Triple
T13541394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thackery Binx |
E323393
|
entity |
| Predicate | familyMember |
P566
|
FINISHED |
| Object |
Emily Binx
Emily Binx is the younger sister of Thackery Binx in the film "Hocus Pocus," whose abduction by witches sets the story's events in motion.
|
E1046752
|
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: Emily Binx | Statement: [Thackery Binx, familyMember, Emily Binx]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Binx Context triple: [Thackery Binx, familyMember, Emily Binx]
-
A.
Mrs. Brill
Mrs. Brill is the Banks family's cook and housekeeper in the "Mary Poppins" stories.
-
B.
Eloise
Eloise is the given first name of American actress Isabel Sanford, best known for her role as Louise "Weezy" Jefferson on the sitcom The Jeffersons.
-
C.
Eloise
Eloise is a spirited, mischievous little girl who lives in New York’s Plaza Hotel and stars in Kay Thompson’s classic children’s book series.
-
D.
Rebecca Pearson
Rebecca Pearson is a central character in the television drama "This Is Us," known as the matriarch of the Pearson family whose life story is explored across multiple decades.
-
E.
Ileen Maisel
Ileen Maisel is a film producer known for her work on literary and period adaptations, including the 2013 film version of "Romeo & Juliet."
- 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: Emily Binx Triple: [Thackery Binx, familyMember, Emily Binx]
Generated description
Emily Binx is the younger sister of Thackery Binx in the film "Hocus Pocus," whose abduction by witches sets the story's events in motion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emily Binx Target entity description: Emily Binx is the younger sister of Thackery Binx in the film "Hocus Pocus," whose abduction by witches sets the story's events in motion.
-
A.
Mrs. Brill
Mrs. Brill is the Banks family's cook and housekeeper in the "Mary Poppins" stories.
-
B.
Eloise
Eloise is a spirited, mischievous little girl who lives in New York’s Plaza Hotel and stars in Kay Thompson’s classic children’s book series.
-
C.
Eloise
Eloise is the given first name of American actress Isabel Sanford, best known for her role as Louise "Weezy" Jefferson on the sitcom The Jeffersons.
-
D.
Rebecca Pearson
Rebecca Pearson is a central character in the television drama "This Is Us," known as the matriarch of the Pearson family whose life story is explored across multiple decades.
-
E.
Ileen Maisel
Ileen Maisel is a film producer known for her work on literary and period adaptations, including the 2013 film version of "Romeo & Juliet."
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafd8ba10819098faadcc6adf251e |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9eaff881909a3cd9e88bb4ec5e |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f75e7d8970819092116ae7a769ac21 |
completed | May 3, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f75f35c6008190b88e14feddb93a1d |
completed | May 3, 2026, 2:44 p.m. |
Created at: April 9, 2026, 9:45 p.m.