Triple
T6004474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liggett & Myers |
E133676
|
entity |
| Predicate | notableBrand |
P1500
|
FINISHED |
| Object | L&M |
E165756
|
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: L&M | Statement: [Liggett & Myers, notableBrand, L&M]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L&M Context triple: [Liggett & Myers, notableBrand, L&M]
-
A.
L&M
chosen
L&M is an international cigarette brand owned by Philip Morris, known for its mid-priced positioning in the global tobacco market.
-
B.
Hillenbrand
Hillenbrand is a surname of German origin borne by various notable individuals in fields such as diplomacy, literature, and sports.
-
C.
Elder-Beerman
Elder-Beerman was a regional American department store chain known for selling apparel, home goods, and accessories, primarily in the Midwestern United States.
-
D.
H&W
H&W is the abbreviated logo text used by Harland and Wolff, the historic Belfast-based shipbuilding and heavy engineering company.
-
E.
Lipton
Lipton is a globally recognized tea brand offering a wide range of tea products, including black, green, and herbal varieties.
- 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f10d18081908c351170b7f58d3d |
completed | March 22, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1088f5c84819094e4696c24c4dd79 |
completed | March 23, 2026, 9:31 a.m. |
Created at: March 22, 2026, 4:06 p.m.