Triple
T6962653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Tait Black |
E161410
|
entity |
| Predicate | hasNotableLegacyIn |
P42607
|
FINISHED |
| Object | literature |
—
|
LITERAL FINISHED |
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: literature | Statement: [James Tait Black, hasNotableLegacyIn, literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableLegacyIn Context triple: [James Tait Black, hasNotableLegacyIn, literature]
-
A.
hasCulturalLegacyIn
chosen
Indicates that an entity has left a lasting cultural influence, impact, or heritage within a particular place, community, or cultural context.
-
B.
hasNamesakeNotability
Indicates that one entity is notable or recognized specifically because it shares the same name as another entity.
-
C.
hasNotableHonoree
Indicates that an entity is notably dedicated to, named after, or honors a particular person or group.
-
D.
hasNotableHonor
Indicates that an entity has received a significant award, title, or formal recognition of distinction.
-
E.
hasNotableSon
Indicates that an entity has a son who is recognized as notable or significant in some context.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daf197b0819085bd0433c8a7f716 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c0b0a08190b262dfc94992994d |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:30 p.m.