Triple
T33576294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Arrival |
E860036
|
entity |
| Predicate | hasCoversOfABBA |
P205225
|
FINISHED |
| Object | no (primarily original material) |
—
|
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: no (primarily original material) | Statement: [New Arrival, hasCoversOfABBA, no (primarily original material)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoversOfABBA Context triple: [New Arrival, hasCoversOfABBA, no (primarily original material)]
-
A.
hasConsonantClusters
Indicates that the subject contains sequences of two or more consonants occurring together without intervening vowels.
-
B.
hasConsonantVowelStructure
Indicates that something (typically a word or syllable) follows a specific pattern or arrangement of consonant and vowel sounds.
-
C.
bracketIsAlternating
Indicates that the sequence of brackets alternates in type or orientation according to a specific alternating pattern.
-
D.
hasConsonantSeries
Indicates that one entity contains or exhibits a specific sequence or pattern of consonant sounds associated with another entity.
-
E.
hasVerticalLoops
Indicates that one entity features or includes vertical loop structures in its form, design, or configuration.
- 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_69f3497d37848190afcbb5ef3f5c7376 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:40 a.m.