Triple
T32723566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arch Colson Chipp Whitehead |
E836739
|
entity |
| Predicate | hasGivenGenreDefiningWork |
P175039
|
FINISHED |
| Object | The Underground Railroad |
—
|
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: The Underground Railroad | Statement: [Arch Colson Chipp Whitehead, hasGivenGenreDefiningWork, The Underground Railroad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenGenreDefiningWork Context triple: [Arch Colson Chipp Whitehead, hasGivenGenreDefiningWork, The Underground Railroad]
-
A.
hasGivenGenre
Indicates that an entity is associated with a specific genre that has been assigned or designated to it.
-
B.
hasGenreOfWorkItAppearsIn
Indicates that an entity is associated with the genre of the work in which it appears.
-
C.
hasWorkInGenreOfAuthor
Indicates that a work is associated with an author whose typical or primary genre matches the genre of that work.
-
D.
includedInGenreDefiningWork
Indicates that one entity is part of, or contributes to, a work that is considered foundational or defining for a particular genre.
-
E.
hasWrittenWorkType
Indicates that an entity (typically a written work) is associated with a specific type or category of written work (such as novel, article, report, etc.).
- 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_69f34935455881909088975d79460418 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd9bae8c8190b528641499162a75 |
completed | May 3, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cd119cac8190a0b3ebe8b9c742c2 |
completed | May 3, 2026, 4:20 a.m. |
Created at: May 1, 2026, 1:11 a.m.