Triple
T34569313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Postmaster’s Daughter |
E887578
|
entity |
| Predicate | writtenByRealName |
P176163
|
FINISHED |
| Object | Louis Tracy |
—
|
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: Louis Tracy | Statement: [The Postmaster’s Daughter, writtenByRealName, Louis Tracy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writtenByRealName Context triple: [The Postmaster’s Daughter, writtenByRealName, Louis Tracy]
-
A.
actuallyWrittenBy
chosen
Indicates that the specified work was in fact authored by the given entity, possibly correcting or overriding a previously assumed or credited author.
-
B.
hasAuthorRealName
Indicates that an entity (such as a work or pseudonym) is associated with the actual, legal name of its author.
-
C.
authorRealNameOfCreator
Indicates that a person’s real, legal, or birth name is the true identity behind a creator who may be known by a pseudonym or handle.
-
D.
basedOnAuthorRealName
Indicates that one entity is derived from, inspired by, or uses the real (legal) name of an author as its basis.
-
E.
alsoKnownAsRealAuthor
Indicates that an entity is an alternative or alias name identifying the same individual who is the actual (real) author of a 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_69f349d1a5fc81908557a46875b2f157 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f72ad38a208190b4bdc828297f86ad |
completed | May 3, 2026, 11 a.m. |
| PD | Predicate disambiguation | batch_69f72a0243988190a43b8ea22457cd30 |
completed | May 3, 2026, 10:57 a.m. |
Created at: May 1, 2026, 2:02 a.m.