Triple
T33531806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Pursuit |
E858813
|
entity |
| Predicate | featuresSupermodel |
P203661
|
FINISHED |
| Object | Claudia Schiffer |
E244317
|
NE 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: Claudia Schiffer | Statement: [In Pursuit, featuresSupermodel, Claudia Schiffer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSupermodel Context triple: [In Pursuit, featuresSupermodel, Claudia Schiffer]
-
A.
featuresModel
Indicates that one entity includes, exposes, or is characterized by a particular model as one of its defining components or capabilities.
-
B.
featuresHero
Indicates that something (such as a work, product, or story) prominently includes or centers around a particular hero as a main character or focus.
-
C.
famousModel
Indicates that the subject is a well-known or widely recognized model.
-
D.
featuresStar
Indicates that one entity prominently includes or showcases another entity as a main star or featured performer.
-
E.
featuresStarPower
Indicates that something prominently includes or showcases a highly famous or celebrated person or talent.
- F. None of above. chosen
Provenance (5 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_69f34978caf4819083f90eba4944d8e8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a01c21d8bc481909dd9f5a6b89c0a92 |
completed | May 11, 2026, 11:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a363c7b9cd88190a4a672ab3869eb6d |
completed | June 20, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_6a01bff5d1508190895e5bd2c04932b0 |
completed | May 11, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_6a01c21ccebc8190897cb2e9d072e4a7 |
completed | May 11, 2026, 11:48 a.m. |
Created at: May 1, 2026, 1:39 a.m.