Triple
T15359758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snares Like a Haircut |
E367258
|
entity |
| Predicate | followedByPublicationYear |
P22827
|
FINISHED |
| Object | 2020 |
—
|
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: 2020 | Statement: [Snares Like a Haircut, followedByPublicationYear, 2020]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followedByPublicationYear Context triple: [Snares Like a Haircut, followedByPublicationYear, 2020]
-
A.
followedByReleaseYear
chosen
Indicates that one item is immediately succeeded by another item in terms of release year.
-
B.
followsInBibliography
Indicates that one bibliographic entry directly succeeds another in the ordering of a bibliography or reference list.
-
C.
followedByTitle
Indicates that one title directly succeeds another in a sequence or ordered list.
-
D.
followsSingleReleaseYear
Indicates that one entity is released in the year immediately following the release year of another single.
-
E.
laterCollectionPublicationYear
Indicates that the referenced collection was published in a year later than the year associated with the compared collection or work.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4607408190ab281a7f7a8012d3 |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69deca991e5081908b0df3d1ee7d5338 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:18 a.m.