Triple
T3186215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judith Beheading Holofernes |
E66703
|
entity |
| Predicate | portraysMoment |
P30546
|
FINISHED |
| Object | instant of decapitation |
—
|
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: instant of decapitation | Statement: [Judith Beheading Holofernes, portraysMoment, instant of decapitation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysMoment Context triple: [Judith Beheading Holofernes, portraysMoment, instant of decapitation]
-
A.
portraysEvent
Indicates that one entity depicts, represents, or illustrates a particular event.
-
B.
depictionOfTime
chosen
Indicates that one entity visually represents or symbolizes a specific moment, period, or progression of time associated with another entity.
-
C.
portrayalRecognition
Indicates that one entity recognizes or identifies another entity as a portrayal or representation of a particular subject or character.
-
D.
portraysGroup
Indicates that one entity depicts, represents, or visually illustrates a group of entities as its subject.
-
E.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6c32ce88190a231be18d38ec5ba |
completed | March 8, 2026, 4:41 p.m. |
| PD | Predicate disambiguation | batch_69ad9e04290481909092ddfbe6fdaabc |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.