Triple
T5599801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yorick Le Saux |
E147088
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Personal Shopper |
E357389
|
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: Personal Shopper | Statement: [Yorick Le Saux, notableWork, Personal Shopper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Personal Shopper Context triple: [Yorick Le Saux, notableWork, Personal Shopper]
-
A.
Personal Shopper
chosen
Personal Shopper is a 2016 psychological thriller film directed by Olivier Assayas, in which Kristen Stewart plays a grieving medium working in Paris while confronting both supernatural and personal hauntings.
-
B.
Bag Lady
"Bag Lady" is a neo-soul song by Erykah Badu, known for its mellow groove and empowering message about letting go of emotional baggage.
-
C.
Stitch Fix
Stitch Fix is an online personal styling service and apparel retailer that uses data science and human stylists to curate and ship customized clothing selections to customers.
-
D.
Bluemercury
Bluemercury is a luxury beauty and spa retail chain in the United States known for offering high-end skincare, makeup, and spa services.
-
E.
The Shop
The Shop is the historic Royal Military Academy in Woolwich, London, which served as the British Army’s principal training institution for artillery and engineering officers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020d936dc8190a2e599f1df9fdd91 |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0287139508190aa646918228cfdc0 |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:38 p.m.