Triple
T21795501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maidenform |
E538082
|
entity |
| Predicate | hasCompetitor |
P1375
|
FINISHED |
| Object | Playtex |
—
|
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: Playtex | Statement: [Maidenform, hasCompetitor, Playtex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Playtex Context triple: [Maidenform, hasCompetitor, Playtex]
-
A.
Playtex
chosen
Playtex is a well-known American brand specializing in bras, shapewear, and other intimate apparel products.
-
B.
Mead Johnson & Company
Mead Johnson & Company is a major American manufacturer of infant formula and pediatric nutrition products, best known for brands such as Enfamil.
-
C.
Nutricia
Nutricia is a Danone-owned brand specializing in medical and early life nutrition products.
-
D.
Gerber
Gerber is a small unincorporated rural community located in Tehama County in Northern California.
-
E.
Gerber
Gerber is a surname most commonly associated with individuals of German or Swiss origin, including various notable figures in entertainment, business, and sports.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f06223ecc48190bd3b173586ea7818 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 16, 2026, 6:53 p.m.