Triple
T300324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colgate-Palmolive |
E6182
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Colgate |
E6182
|
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: Colgate | Statement: [Colgate-Palmolive, brand, Colgate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colgate Context triple: [Colgate-Palmolive, brand, Colgate]
-
A.
Colgate-Palmolive
chosen
Colgate-Palmolive is a global consumer products company best known for its oral care, personal care, home care, and pet nutrition brands.
-
B.
Gillette
Gillette is a globally recognized American brand best known for its razors and shaving products.
-
C.
William Colgate
William Colgate was a 19th-century English-American soap and candle manufacturer whose business ventures laid the foundation for what became the global consumer products company Colgate-Palmolive.
-
D.
Irish Spring
Irish Spring is a popular personal care brand best known for its strongly scented bar soaps and body washes marketed for their invigorating, “fresh” feel.
-
E.
Heinz
Heinz is the German given name of Henry Alfred Kissinger, the influential American diplomat and former U.S. Secretary of State.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e9e6a8308190b9bd15310e324504 |
completed | Feb. 28, 2026, 1:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3b47185f48190813159f932c0af9a |
completed | March 1, 2026, 3:37 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.