Triple
T37845738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Earl’s Return |
E943594
|
entity |
| Predicate | writtenUnderName |
P140961
|
FINISHED |
| Object | Owen Meredith |
—
|
NE NERFINISHED |
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: Owen Meredith | Statement: [The Earl’s Return, writtenUnderName, Owen Meredith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writtenUnderName Context triple: [The Earl’s Return, writtenUnderName, Owen Meredith]
-
A.
workPublishedUnderName
chosen
Indicates that a work was released or made public using a specific name (such as a real name, pseudonym, or organizational name) as the credited author or source.
-
B.
writtenUnderHeteronym
Indicates that a work was written by an author using a specific heteronym (an alternate literary persona distinct from their primary identity).
-
C.
writtenAgainst
Indicates that a written work (such as a document, article, or statement) is composed in opposition to, or as a critique or complaint about, a particular target.
-
D.
actuallyWrittenBy
Indicates that the specified work was in fact authored by the given entity, possibly correcting or overriding a previously assumed or credited author.
-
E.
authoredWith
Indicates that two or more entities jointly created or wrote a work together.
- 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_69f76eeb0f7081908d6d3adbc469889c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.