Triple
T9145808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Wu |
E219448
|
entity |
| Predicate | hasRecognitionWithin |
P74787
|
FINISHED |
| Object | speculative fiction community |
—
|
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: speculative fiction community | Statement: [Frank Wu, hasRecognitionWithin, speculative fiction community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecognitionWithin Context triple: [Frank Wu, hasRecognitionWithin, speculative fiction community]
-
A.
hasReceivedRecognitionFor
Indicates that an entity has been acknowledged, honored, or formally recognized for a particular achievement, contribution, or quality.
-
B.
hasRecognitionScope
chosen
Indicates the extent or context within which a recognition, award, or acknowledgment is valid or applies.
-
C.
hasRightRecognizedIn
Indicates that an entity’s right is formally acknowledged or upheld within a specified context, system, or jurisdiction.
-
D.
hasProcessOfRecognition
Indicates that one entity is involved in or characterized by a process of recognizing, identifying, or acknowledging another entity or condition.
-
E.
recognitionStatus
Indicates the current state or outcome of acknowledging, validating, or officially accepting something or someone.
- 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_69ca83e121dc81909912bd66953081c5 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca917914c8190b97ca9169bbd1e5e |
completed | April 1, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69cc6603ce8c8190bf6e8d6754bdec54 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:19 p.m.