Triple
T5190758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maya Hawke |
E117145
|
entity |
| Predicate | modeledFor |
P2006
|
FINISHED |
| Object |
AllSaints
AllSaints is a British fashion retailer known for its edgy, minimalist clothing and signature leather jackets.
|
E501711
|
NE FINISHED |
How this triple was built (4 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: AllSaints | Statement: [Maya Hawke, modeledFor, AllSaints]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AllSaints Context triple: [Maya Hawke, modeledFor, AllSaints]
-
A.
Esprit
Esprit is an international fashion brand known for its casual, contemporary clothing and lifestyle products.
-
B.
Uniqlo
Uniqlo is a global Japanese clothing retailer known for its affordable, minimalist casual wear and functional basics.
-
C.
Ursula Jeans
Ursula Jeans was a British stage and film actress known for her versatile character roles in mid-20th-century cinema and theatre.
-
D.
Semler
Semler is a German surname most notably associated with Johann Salomo Semler, an influential 18th-century biblical scholar and theologian.
-
E.
C&A
C&A is a major international fashion retail chain known for offering affordable clothing and accessories across numerous European and global markets.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: AllSaints Triple: [Maya Hawke, modeledFor, AllSaints]
Generated description
AllSaints is a British fashion retailer known for its edgy, minimalist clothing and signature leather jackets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AllSaints Target entity description: AllSaints is a British fashion retailer known for its edgy, minimalist clothing and signature leather jackets.
-
A.
Esprit
Esprit is an international fashion brand known for its casual, contemporary clothing and lifestyle products.
-
B.
Uniqlo
Uniqlo is a global Japanese clothing retailer known for its affordable, minimalist casual wear and functional basics.
-
C.
Ursula Jeans
Ursula Jeans was a British stage and film actress known for her versatile character roles in mid-20th-century cinema and theatre.
-
D.
Semler
Semler is a German surname most notably associated with Johann Salomo Semler, an influential 18th-century biblical scholar and theologian.
-
E.
C&A
C&A is a major international fashion retail chain known for offering affordable clothing and accessories across numerous European and global markets.
- 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79ebbfd081909a19b903c227fc1f |
completed | March 20, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee09146788190bfaac25a31e76ab5 |
completed | March 21, 2026, 6:16 p.m. |
| NEDg | Description generation | batch_69bee2f57b588190a7c7f1e932281911 |
completed | March 21, 2026, 6:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bee372a2948190abd3ca95c3c2f01b |
completed | March 21, 2026, 6:29 p.m. |
Created at: March 20, 2026, 1:46 p.m.