Triple
T19781589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Patrick Abercrombie |
E475145
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Abercrombie |
—
|
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: Abercrombie | Statement: [Sir Patrick Abercrombie, familyName, Abercrombie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abercrombie Context triple: [Sir Patrick Abercrombie, familyName, Abercrombie]
-
A.
Abercrombie
chosen
Abercrombie is a Scottish-origin surname borne by various notable individuals, including politicians, artists, and public figures.
-
B.
Abercrombie & Fitch Stores, Inc.
Abercrombie & Fitch Stores, Inc. is an American retail company known for its casual apparel and accessories, particularly targeting young adults through its namesake and related brands.
-
C.
Aeropostale
Aeropostale is an American specialty retailer known for its casual apparel and accessories aimed primarily at teenagers and young adults.
-
D.
Old Navy
Old Navy is an American clothing and accessories retail chain known for offering affordable, family-oriented casual apparel.
-
E.
Esprit
Esprit is an international fashion brand known for its casual, contemporary clothing and lifestyle products.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653846a248190adc4afe0dc29a402 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.