Triple
T1971087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Fantasy Award |
E42799
|
entity |
| Predicate | currentTrophyDesign |
P33330
|
FINISHED |
| Object | tree statuette |
—
|
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: tree statuette | Statement: [World Fantasy Award, currentTrophyDesign, tree statuette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentTrophyDesign Context triple: [World Fantasy Award, currentTrophyDesign, tree statuette]
-
A.
trophyDesigner
Indicates that one entity is the designer or creator of a particular trophy associated with another entity.
-
B.
trophy
Indicates that one entity is a trophy awarded or possessed in relation to another entity, typically as a result of winning or achieving something.
-
C.
replacedTrophy
Indicates that one entity has taken the place of another entity in serving as a trophy or awarded symbol of achievement.
-
D.
hasTrophyStatus
Indicates that an entity possesses a particular trophy-related status or classification.
-
E.
trophyOfficialName
Indicates the official, formally recognized name assigned to a particular trophy.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3d2836c8190a35cb6d8e2dd4bdf |
completed | March 7, 2026, 5:12 a.m. |
| PD | Predicate disambiguation | batch_69abaff7d4a48190ab0d51aefb1c4e31 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb16a6db48190af04012e8ed2269f |
completed | March 7, 2026, 5:02 a.m. |
Created at: March 4, 2026, 7:36 p.m.