Triple
T16014692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacques Saunière |
E388434
|
entity |
| Predicate | usesMediumForClues |
P4793
|
FINISHED |
| Object | his own body |
—
|
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: his own body | Statement: [Jacques Saunière, usesMediumForClues, his own body]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMediumForClues Context triple: [Jacques Saunière, usesMediumForClues, his own body]
-
A.
usedMedium
chosen
Indicates that an action or communication was carried out through a particular medium or channel.
-
B.
occursInMedium
Indicates that an event, process, or interaction takes place within or is hosted by a particular medium or environment.
-
C.
requiresMedium
Indicates that an action or process depends on or must be carried out within a specific medium or environment to occur or be valid.
-
D.
hasMediumCharacter
Indicates that one entity possesses or is associated with a character whose size, intensity, or degree is classified as medium.
-
E.
mediumDisplayed
Indicates that a particular medium (such as an image, video, or document) is being shown or rendered in a given context or interface.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:55 a.m.