Triple
T657106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billy Crystal |
E11670
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Soap
Soap is a satirical American television sitcom that parodied daytime soap operas and became a cult classic for its controversial, boundary-pushing humor.
|
E82143
|
NE FINISHED |
How this triple was built (4 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: Soap | Statement: [Billy Crystal, notableWork, Soap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soap Context triple: [Billy Crystal, notableWork, Soap]
-
A.
Softsoap
Softsoap is a popular personal care product line best known for its liquid hand soaps and body washes.
-
B.
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.
-
C.
Splash
Splash is a 1984 romantic comedy fantasy film directed by Ron Howard about a man who falls in love with a mermaid in New York City.
-
D.
Surface
Surface is Microsoft's line of touchscreen-based personal computing devices, including laptops, tablets, and 2-in-1 hybrids.
-
E.
Suavitel
Suavitel is a popular fabric softener brand known for its long-lasting fragrances and softening properties, marketed primarily in Latin American and U.S. Hispanic households.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Soap Triple: [Billy Crystal, notableWork, Soap]
Generated description
Soap is a satirical American television sitcom that parodied daytime soap operas and became a cult classic for its controversial, boundary-pushing humor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Soap Target entity description: Soap is a satirical American television sitcom that parodied daytime soap operas and became a cult classic for its controversial, boundary-pushing humor.
-
A.
Softsoap
Softsoap is a popular personal care product line best known for its liquid hand soaps and body washes.
-
B.
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.
-
C.
Splash
Splash is a 1984 romantic comedy fantasy film directed by Ron Howard about a man who falls in love with a mermaid in New York City.
-
D.
Surface
Surface is Microsoft's line of touchscreen-based personal computing devices, including laptops, tablets, and 2-in-1 hybrids.
-
E.
Suavitel
Suavitel is a popular fabric softener brand known for its long-lasting fragrances and softening properties, marketed primarily in Latin American and U.S. Hispanic households.
- F. None of above. chosen
Provenance (5 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f4e87408190b5276d2b913d0426 |
completed | March 1, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5914abe2c8190a27f520f445554d8 |
completed | March 2, 2026, 1:31 p.m. |
| NEDg | Description generation | batch_69a5ab066d348190bbe5956cce0407ef |
completed | March 2, 2026, 3:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5c240eebc819098cd79447ed95b08 |
completed | March 2, 2026, 5 p.m. |
Created at: March 1, 2026, 7:36 p.m.