Triple
T30943334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fragile Express |
E788319
|
entity |
| Predicate | reputationInFiction |
P28732
|
FINISHED |
| Object | reliable long-distance delivery |
—
|
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: reliable long-distance delivery | Statement: [Fragile Express, reputationInFiction, reliable long-distance delivery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reputationInFiction Context triple: [Fragile Express, reputationInFiction, reliable long-distance delivery]
-
A.
hasReputationInFiction
chosen
Indicates that an entity is known or regarded in a particular way within fictional works or narratives.
-
B.
hasRankInFiction
Indicates that a fictional character or entity holds a specific rank, title, or hierarchical position within a fictional context or universe.
-
C.
hasReputationInLiterature
Indicates that an entity is recognized or regarded in a particular way within literary works or the field of literature.
-
D.
authorshipInFiction
Indicates that one entity is the creator or writer of a fictional work in which another entity appears or is represented.
-
E.
createsInFiction
Indicates that one entity is the creator or originator of another entity within a fictional or narrative context.
- 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_69f224c180f88190ad177372ee02b7e2 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:53 p.m.