Triple
T32721420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabel Marant |
E836682
|
entity |
| Predicate | hasDiffusionLine |
P197805
|
FINISHED |
| Object | Étoile Isabel Marant |
—
|
NE NERFINISHED |
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: Étoile Isabel Marant | Statement: [Isabel Marant, hasDiffusionLine, Étoile Isabel Marant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDiffusionLine Context triple: [Isabel Marant, hasDiffusionLine, Étoile Isabel Marant]
-
A.
diffusionLineFocus
Indicates a relationship where attention or emphasis is directed along a specific line or axis within a diffusion process or diffusion-based representation.
-
B.
hasDominantLines
Indicates that one element in a pair exhibits stronger, more prominent, or controlling linear features relative to the other.
-
C.
hasStraightLines
Indicates that the related entity possesses or is characterized by straight, non-curved lines.
-
D.
hasDeFactoLine
Indicates that there exists an unofficial or non-legally recognized boundary or demarcation line functioning in practice between the related entities.
-
E.
isLinedWith
Indicates that one object or surface is covered, edged, or internally coated along its length or area with another material or layer.
- 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_69f34935455881909088975d79460418 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69feabcda59481908f2bc13b46fcced1 |
completed | May 9, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69feaabd63f88190b30dcf6dd2ea39d1 |
completed | May 9, 2026, 3:32 a.m. |
| PDg | Predicate description generation | batch_69feabcca6148190a8eb7b6fa33729c7 |
completed | May 9, 2026, 3:36 a.m. |
Created at: May 1, 2026, 1:11 a.m.