Triple
T26481760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hayley Warner |
E664704
|
entity |
| Predicate | hasWritingCreditFor |
P47055
|
FINISHED |
| Object | various pop artists |
—
|
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: various pop artists | Statement: [Hayley Warner, hasWritingCreditFor, various pop artists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWritingCreditFor Context triple: [Hayley Warner, hasWritingCreditFor, various pop artists]
-
A.
hasWritingCreditOn
chosen
Indicates that an entity is credited as a writer or co-writer for a particular work or production.
-
B.
workWrittenFor
Indicates that a creative work was specifically composed, produced, or created for a particular person, group, event, purpose, or medium.
-
C.
hasScreenwriter
Indicates that a creative work is associated with the person or entity who wrote its screenplay or script.
-
D.
screenwriterWorkedWith
Indicates that a screenwriter has collaborated professionally with another individual on one or more film, television, or related media projects.
-
E.
hasPerformerCredit
Indicates that a performer is credited for their role or contribution in a specific work, event, or production.
- 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_69ee883bc85481909885f92415cbce33 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6247480cc8190a887eedaeb94615c |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 12:27 a.m.