Triple
T30768959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Getting of Wisdom (screenplay adaptation) |
E783457
|
entity |
| Predicate | literarySourceAuthorPseudonym |
P72674
|
FINISHED |
| Object | Henry Handel Richardson |
—
|
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: Henry Handel Richardson | Statement: [The Getting of Wisdom (screenplay adaptation), literarySourceAuthorPseudonym, Henry Handel Richardson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literarySourceAuthorPseudonym Context triple: [The Getting of Wisdom (screenplay adaptation), literarySourceAuthorPseudonym, Henry Handel Richardson]
-
A.
literaryAuthor
Indicates that one entity is the author or writer of a literary work represented by the other entity.
-
B.
pseudonymOfWriter
chosen
Indicates that one entity is a pseudonym used by a writer who is represented by the other entity.
-
C.
workByAuthorAlsoKnownFor
Indicates that a work is created by an author who is also notably recognized for another specified work or contribution.
-
D.
pseudonymCoinedBy
Indicates that a particular pseudonym was created or invented by a specific agent or source.
-
E.
basedOnAuthorPseudonym
Indicates that something is derived from, inspired by, or determined using an author's pseudonym rather than their real name.
- 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_69f224b1519081908b9db003fd2073e0 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 29, 2026, 8:40 p.m.