Triple
T21385350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Ann Lipton |
E527479
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lipton |
—
|
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: Lipton | Statement: [Margaret Ann Lipton, familyName, Lipton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lipton Context triple: [Margaret Ann Lipton, familyName, Lipton]
-
A.
Lipton
chosen
Lipton is a globally recognized tea brand offering a wide range of tea products, including black, green, and herbal varieties.
-
B.
Tata Tea
Tata Tea is a major Indian tea brand and beverage company, part of the Tata Group, known for its wide range of packaged teas and strong presence in the domestic and international markets.
-
C.
Nescafé
Nescafé is a globally popular brand of instant coffee and related coffee products owned by Nestlé.
-
D.
Maxwell House
Maxwell House is a long-standing American coffee brand known for its mass-market ground and instant coffees and the slogan "Good to the last drop."
-
E.
Nestea
Nestea is a popular ready-to-drink and powdered iced tea beverage brand originally developed and marketed by Nestlé.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62c9494081909efa74e189454dc6 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 16, 2026, 5:12 p.m.