Triple
T18071286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pall Mall Gazette |
E432434
|
entity |
| Predicate | hasOnlineSuccessor |
P129703
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [Pall Mall Gazette, hasOnlineSuccessor, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnlineSuccessor Context triple: [Pall Mall Gazette, hasOnlineSuccessor, none]
-
A.
hasMoreAggressiveSuccessor
Indicates that one entity is followed or replaced by another entity that exhibits a higher level of aggressiveness in behavior, strategy, or effect.
-
B.
hasSuccessorUsers
Indicates that one user or set of users is followed or replaced by another user or set of users in a sequence or succession.
-
C.
hasSuccessorInMemory
Indicates that one entity is followed by another in a specific memory sequence or structure.
-
D.
hasModernSuccessor
Indicates that an entity is followed or replaced by another entity that serves as its modern equivalent or continuation.
-
E.
hasFlagshipSuccessor
Indicates that one entity serves as the primary or leading successor to another, typically replacing it as the main or flagship version, product, or instance.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ccee2fa4819098a61f7fdb8f1853 |
completed | April 19, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e3f90c652481908133a73106d78919 |
completed | April 18, 2026, 9:35 p.m. |
| PDg | Predicate description generation | batch_69e42d8eefa88190a700c7c1b4213e46 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:26 a.m.