Triple
T31222390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam (Trick 'r Treat) |
E796046
|
entity |
| Predicate | merchandiseIncludes |
P44684
|
FINISHED |
| Object | collectible figures |
—
|
LITERAL 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: collectible figures | Statement: [Sam (Trick 'r Treat), merchandiseIncludes, collectible figures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: merchandiseIncludes Context triple: [Sam (Trick 'r Treat), merchandiseIncludes, collectible figures]
-
A.
productIncludes
chosen
Indicates that a product contains, comprises, or is composed of the specified component, item, or feature.
-
B.
includesGoods
Indicates that one entity contains or comprises certain goods as part of its contents or composition.
-
C.
merchandiseSource
Indicates that one entity is the origin, supplier, or provider from which another entity’s merchandise is obtained.
-
D.
catalogueIncludes
Indicates that a catalogue contains or lists a particular item as part of its contents.
-
E.
packagingIncludes
Indicates that the packaging of one item contains or comes with another specified item or component.
- F. None of above.
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_69f224da98f88190ab32f690cce5d303 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c4e1a5081909b533baf10ce0142 |
completed | May 3, 2026, 12:52 a.m. |
| PD | Predicate disambiguation | batch_69f696673214819094350e1d2648ef34 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:10 p.m.