Triple
T18067280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halley’s Comet of 1066 |
E432324
|
entity |
| Predicate | depictionAs |
P9800
|
FINISHED |
| Object | fiery star with tail |
—
|
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: fiery star with tail | Statement: [Halley’s Comet of 1066, depictionAs, fiery star with tail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictionAs Context triple: [Halley’s Comet of 1066, depictionAs, fiery star with tail]
-
A.
depictionDetail
Indicates that one depiction provides additional detail, refinement, or a closer view of what is shown in another depiction.
-
B.
depictionType
chosen
Indicates the specific manner or style in which something is visually represented or depicted.
-
C.
depictionAction
Indicates an action in which one entity visually represents, illustrates, or portrays another entity.
-
D.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
E.
isDepictedVia
Indicates that one entity is represented, illustrated, or shown by means of another entity, such as a specific medium, style, or method of depiction.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cceb020081909329492591e7b1f2 |
completed | April 19, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e3f90c652481908133a73106d78919 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:26 a.m.