Triple
T5053115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bette Davis Eyes |
E113832
|
entity |
| Predicate | earlierVersionReleaseYear |
P17927
|
FINISHED |
| Object | 1974 |
—
|
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: 1974 | Statement: [Bette Davis Eyes, earlierVersionReleaseYear, 1974]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlierVersionReleaseYear Context triple: [Bette Davis Eyes, earlierVersionReleaseYear, 1974]
-
A.
hasEarlierVersion
Indicates that one entity is an earlier or prior version of another entity in a version sequence.
-
B.
firstVersionYear
Indicates the calendar year in which the first version or initial release of something was created, published, or made available.
-
C.
previousWorkReleaseYear
chosen
Indicates the year in which an earlier or prior work in a sequence or related set was released.
-
D.
EPReleaseYear
Indicates the calendar year in which an EP (extended play recording) was officially released.
-
E.
ARVersionAnnouncementYear
Indicates the year in which a specific version of an augmented reality (AR) product or system was officially announced.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7428d7a88190b990aedae390acbe |
completed | March 20, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69bd715479f08190933604aebd34414f |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:38 p.m.