Triple
T566589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Film Editing |
E13565
|
entity |
| Predicate | hasCategoryNumbering |
P16456
|
FINISHED |
| Object | one of the original craft categories |
—
|
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: one of the original craft categories | Statement: [Academy Award for Best Film Editing, hasCategoryNumbering, one of the original craft categories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCategoryNumbering Context triple: [Academy Award for Best Film Editing, hasCategoryNumbering, one of the original craft categories]
-
A.
hasNumberCategory
Indicates that an entity is associated with a specific numerical classification or type.
-
B.
numberingType
Indicates the scheme or style used to assign sequential numbers or labels within an ordered set.
-
C.
hasMajorCategory
Indicates that something is associated with or classified under a primary, overarching category.
-
D.
hasTotalNumber
Indicates that an entity is associated with a specific overall count or sum of items, elements, or units.
-
E.
hasCategoryGroup
Indicates that something is associated with, or belongs to, a broader grouping of related categories.
- F. None of above. chosen
Provenance (4 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b01aca48190944408d066519149 |
completed | March 1, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69a494c183b081909304944aa3d0fe8f |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985952a481908b918350ececf484 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.