Triple
T22035158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Roundy |
E544186
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Shampoo |
—
|
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: Shampoo | Statement: [George Roundy, appearsIn, Shampoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shampoo Context triple: [George Roundy, appearsIn, Shampoo]
-
A.
Shampoo
chosen
"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.
-
B.
The Shampoo
"The Shampoo" is a poem by Elizabeth Bishop noted for its intimate, reflective tone and vivid celestial imagery.
-
C.
Wash
"Wash" is a popular electronic dance music track by Nigerian producer and DJ Tekno, known for its catchy melody and club-friendly beat.
-
D.
Tide
Tide is a leading American laundry detergent brand known for its powerful stain-removal formulas and wide range of fabric care products.
-
E.
Soap
Soap is a satirical American television sitcom that parodied daytime soap operas and became a cult classic for its controversial, boundary-pushing humor.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f0594881909caf4fbc3e0a2d50 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:25 p.m.