Triple
T1776490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Softsoap liquid hand soap |
E38991
|
entity |
| Predicate | brandName |
P1500
|
FINISHED |
| Object | Softsoap |
E38987
|
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: Softsoap | Statement: [Softsoap liquid hand soap, brandName, Softsoap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Softsoap Context triple: [Softsoap liquid hand soap, brandName, Softsoap]
-
A.
Softsoap
chosen
Softsoap is a popular personal care product line best known for its liquid hand soaps and body washes.
-
B.
Soap
Soap is a satirical American television sitcom that parodied daytime soap operas and became a cult classic for its controversial, boundary-pushing humor.
-
C.
Shampoo
"Shampoo" is a 1975 satirical romantic comedy film set on the eve of the 1968 U.S. presidential election, starring Warren Beatty as a Beverly Hills hairdresser entangled in complex romantic and social relationships.
-
D.
Softsoap liquid hand soap
Softsoap liquid hand soap is a widely sold brand of liquid hand soap known for its variety of scents and formulations for everyday household use.
-
E.
Angel Soft
Angel Soft is a popular American toilet paper brand known for its balance of softness, strength, and affordability.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64b839608190b32bc041267458d5 |
completed | March 6, 2026, 5:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada99a81c08190b602858708263193 |
completed | March 8, 2026, 4:53 p.m. |
Created at: March 4, 2026, 7:31 p.m.