Triple
T14696747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Man in the Hathaway Shirt |
E345181
|
entity |
| Predicate | advertisingClient |
P23729
|
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: [Man in the Hathaway Shirt, advertisingClient, Hathaway Shirts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hathaway Shirts Context triple: [Man in the Hathaway Shirt, advertisingClient, 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.
Old Navy
Old Navy is an American clothing and accessories retail chain known for offering affordable, family-oriented casual apparel.
-
C.
Cotton On
Cotton On is a global Australian retail chain known for its affordable, casual fashion and lifestyle products.
-
D.
Lucky Brand
Lucky Brand is an American denim and casual apparel company best known for its vintage-inspired jeans and laid-back Southern California style.
-
E.
New York & Company
New York & Company is an American specialty retailer known for offering women's fashion apparel and accessories, particularly career and casual wear, through mall-based stores and online channels.
- 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_69fdf08274ac8190b5ba0752d36a690b |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:28 a.m.