Triple
T15424543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Dennison |
E369472
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Hocus Pocus 2 |
E1057149
|
NE FINISHED |
How this triple was built (2 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: Hocus Pocus 2 | Statement: [Max Dennison, appearsIn, Hocus Pocus 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hocus Pocus 2 Context triple: [Max Dennison, appearsIn, Hocus Pocus 2]
-
A.
Hocus Pocus 2
chosen
Hocus Pocus 2 is a 2022 Disney fantasy-comedy film that serves as the sequel to the cult classic Hocus Pocus, following the return of the Sanderson sisters to modern-day Salem.
-
B.
Hocus Pocus
Hocus Pocus is a 1993 fantasy-comedy film about three resurrected witches wreaking havoc in modern-day Salem, which has since become a cult Halloween classic.
-
C.
Hocus Pocus
Hocus Pocus is a satirical novel by Kurt Vonnegut that critiques war, the prison-industrial complex, and American society through the darkly comic reflections of a Vietnam veteran turned college professor.
-
D.
One Halloween
"One Halloween" is a song featured on the musical theatre album *Applause*.
-
E.
31 Nights of Halloween
31 Nights of Halloween is Freeform’s annual month-long programming event featuring Halloween-themed movies, specials, and family-friendly spooky content.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec032548190840b558dde6057c7 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a18c548190b8591776828c1793 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:20 a.m.