Triple
T34569365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gordon Holmes (Louis Tracy pseudonym) |
E887580
|
entity |
| Predicate | occupationOfRealPerson |
P83547
|
FINISHED |
| Object | novelist |
—
|
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: novelist | Statement: [Gordon Holmes (Louis Tracy pseudonym), occupationOfRealPerson, novelist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupationOfRealPerson Context triple: [Gordon Holmes (Louis Tracy pseudonym), occupationOfRealPerson, novelist]
-
A.
occupationOf
Indicates that one entity holds or performs the job, role, or profession associated with another entity.
-
B.
endedOccupationOf
Indicates that one entity brought another entity’s occupation or control of a place or position to an end.
-
C.
hasOccupationInReality
Indicates that an entity holds or performs a specific occupation in the real world, as opposed to fictional or hypothetical contexts.
-
D.
occupationOfAssociatedPerson
chosen
Indicates the job or professional role held by a person who is associated with another referenced entity.
-
E.
ownerOccupation
Indicates that the occupation or job role of an entity that owns something is being specified or described.
- 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_69f349d1a5fc81908557a46875b2f157 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f727bde8f88190ad746ca515134ca1 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72739c30c81908642eef3feb3afcf |
completed | May 3, 2026, 10:45 a.m. |
Created at: May 1, 2026, 2:02 a.m.