Triple
T21618107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Devil in the Book |
E533498
|
entity |
| Predicate | politicalInsight |
P85533
|
FINISHED |
| Object | sharp |
—
|
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: sharp | Statement: [The Devil in the Book, politicalInsight, sharp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalInsight Context triple: [The Devil in the Book, politicalInsight, sharp]
-
A.
politicalInterest
Indicates that an entity has an interest, concern, or engagement in political matters, issues, or activities.
-
B.
politicalAwareness
chosen
Indicates an entity’s level of understanding, concern, or engagement with political issues, processes, or power structures.
-
C.
politicalBase
Indicates the primary group, region, or constituency that provides core political support or power for an individual or organization.
-
D.
politicalCurrent
Indicates that an entity is presently holding or engaged in a specific political role, status, or activity at the current time.
-
E.
isPoliticalHub
Indicates that a place or entity serves as a central location or focal point for political activity, organization, or influence.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3bac4a5c8190919c625c14a54c16 |
completed | April 27, 2026, 10:34 a.m. |
| PD | Predicate disambiguation | batch_69e69665fe8c8190af7e38785db188b2 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:34 p.m.