Triple
T31069016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dodsworth |
E791760
|
entity |
| Predicate | playwrightOfSourcePlay |
P170712
|
FINISHED |
| Object | Sidney Howard |
—
|
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: Sidney Howard | Statement: [Dodsworth, playwrightOfSourcePlay, Sidney Howard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playwrightOfSourcePlay Context triple: [Dodsworth, playwrightOfSourcePlay, Sidney Howard]
-
A.
activeAsPlaywrightFrom
Indicates the time period during which an entity was actively working in the role of a playwright.
-
B.
laterPlaywright
Indicates that one person became a playwright at a later time than another person.
-
C.
playSource
Indicates that an entity serves as the origin or provider from which a play or playback action is initiated.
-
D.
marriedToPlaywright
Indicates that one person is married to another person who is a playwright.
-
E.
hasPlaywrightDebutFor
Indicates that an entity made their first appearance or debut as a playwright specifically for a given work, production, or context.
- 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_69f224cc0c5c81908404f087bff92997 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695b48c848190aa125c462ed5f211 |
completed | May 3, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69f690f13d7481908ddfefe95df2a1c2 |
completed | May 3, 2026, 12:04 a.m. |
| PDg | Predicate description generation | batch_69f6938244648190a553b532387b812c |
completed | May 3, 2026, 12:14 a.m. |
Created at: April 29, 2026, 9:01 p.m.