Triple
T36167225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Carr |
E1046039
|
entity |
| Predicate | intertextualLink |
P171850
|
FINISHED |
| Object | The Importance of Being Earnest |
—
|
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 Importance of Being Earnest | Statement: [Henry Carr, intertextualLink, The Importance of Being Earnest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intertextualLink Context triple: [Henry Carr, intertextualLink, The Importance of Being Earnest]
-
A.
intertextualRelation
Indicates a relationship in which one text references, echoes, or otherwise meaningfully connects to another text.
-
B.
textLinkedTo
chosen
Indicates that one piece of text is connected or associated with another, such as through a hyperlink, reference, or explicit textual relation.
-
C.
usesInterwikiLinks
Indicates that one entity includes or relies on interwiki links to reference or connect to content in other wikis.
-
D.
linkedRight
Indicates that one entity is directly connected or positioned to the right of another entity in a sequence or structure.
-
E.
alsoRefersTo
Indicates that one term, label, or identifier is used as an alternative designation for the same entity or concept as another.
- 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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe8f74748c8190bd14a856c057f9f7 |
completed | May 9, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_69fe8e7ed8088190929e0df67aca4de9 |
completed | May 9, 2026, 1:31 a.m. |
Created at: May 3, 2026, 4:08 p.m.