Triple
T3056279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hocus Pocus |
E60487
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Sarah Sanderson
Sarah Sanderson is a flirtatious and ditzy witch from the Sanderson sisters trio in the fantasy-comedy film "Hocus Pocus."
|
E323390
|
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: Sarah Sanderson | Statement: [Hocus Pocus, mainCharacter, Sarah Sanderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Sanderson Context triple: [Hocus Pocus, mainCharacter, Sarah Sanderson]
-
A.
Baelen
Baelen is a small municipality in the province of Liège in eastern Belgium, near the German border.
-
B.
Alys
Alys is a feminine given name, often used as a variant of Alice in English-speaking contexts.
-
C.
Princess Rhaenys Targaryen
Princess Rhaenys Targaryen is a seasoned dragonrider and politically astute Targaryen royal, known as "The Queen Who Never Was" in the world of George R. R. Martin’s Westeros.
-
D.
Perrin
Perrin is a French surname borne by numerous notable figures in science, arts, and public life.
-
E.
Armina Marshall
Armina Marshall was an American theater producer and director best known as a co-founder and leading figure of the influential Theatre Guild on Broadway.
- 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: Sarah Sanderson Triple: [Hocus Pocus, mainCharacter, Sarah Sanderson]
Generated description
Sarah Sanderson is a flirtatious and ditzy witch from the Sanderson sisters trio in the fantasy-comedy film "Hocus Pocus."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarah Sanderson Target entity description: Sarah Sanderson is a flirtatious and ditzy witch from the Sanderson sisters trio in the fantasy-comedy film "Hocus Pocus."
-
A.
Baelen
Baelen is a small municipality in the province of Liège in eastern Belgium, near the German border.
-
B.
Alys
Alys is a feminine given name, often used as a variant of Alice in English-speaking contexts.
-
C.
Princess Rhaenys Targaryen
Princess Rhaenys Targaryen is a seasoned dragonrider and politically astute Targaryen royal, known as "The Queen Who Never Was" in the world of George R. R. Martin’s Westeros.
-
D.
Perrin
Perrin is a French surname borne by numerous notable figures in science, arts, and public life.
-
E.
Armina Marshall
Armina Marshall was an American theater producer and director best known as a co-founder and leading figure of the influential Theatre Guild on Broadway.
- 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.