Triple
T14696549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hathaway Man campaign |
E345177
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Hathaway shirts |
E345181
|
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: Hathaway shirts | Statement: [Hathaway Man campaign, product, Hathaway shirts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hathaway shirts Context triple: [Hathaway Man campaign, product, Hathaway shirts]
-
A.
Hathaway Shirts
chosen
Hathaway Shirts is an American dress shirt brand best known for its iconic 1950s advertising campaign featuring the “man in the Hathaway shirt” with an eye patch.
-
B.
Arrow shirts
Arrow shirts are a classic American dress-shirt brand best known for their early 20th-century popularity and association with the iconic “Arrow Collar Man” advertising campaign.
-
C.
Abercrombie
Abercrombie is a Scottish-origin surname borne by various notable individuals, including politicians, artists, and public figures.
-
D.
Cotton On
Cotton On is a global Australian retail chain known for its affordable, casual fashion and lifestyle products.
-
E.
Old Navy
Old Navy is an American clothing and accessories retail chain known for offering affordable, family-oriented casual apparel.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb58855e081908b38f9515db5677f |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde19040e0819099159ed2609c6965 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:28 a.m.