Triple
T18966258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Hallows’ Eve |
E464048
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Halloween |
—
|
NE NERFINISHED |
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: Halloween | Statement: [All Hallows’ Eve, alsoKnownAs, Halloween]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halloween Context triple: [All Hallows’ Eve, alsoKnownAs, Halloween]
-
A.
Halloween
chosen
Halloween is an annual celebration observed on October 31, characterized by costumes, trick-or-treating, spooky decorations, and themes of the supernatural and the macabre.
-
B.
Halloween
Halloween is a 1978 American slasher film directed by John Carpenter that helped define the horror genre and introduced the iconic character Michael Myers.
-
C.
Halloween
"Halloween" is a dark, fan-favorite song by the Dave Matthews Band known for its intense emotion and rare live performances.
-
D.
Trick or Treat
"Trick or Treat" is a 1986 horror-comedy film about a heavy metal-obsessed teenager who unwittingly resurrects a dead rock star through a cursed record, directed by Charles Martin Smith.
-
E.
One Halloween
"One Halloween" is a song featured on the musical theatre album *Applause*.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d663948190b496fbd2e69c7f43 |
completed | April 20, 2026, 7:29 a.m. |
Created at: April 10, 2026, noon