Triple
T9424666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1999 |
E227236
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Lady Cab Driver
"Lady Cab Driver" is a funk-infused, sexually charged track by Prince from his acclaimed 1982 double album "1999."
|
E797807
|
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: Lady Cab Driver | Statement: [1999, hasPart, Lady Cab Driver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lady Cab Driver Context triple: [1999, hasPart, Lady Cab Driver]
-
A.
Mr. Cab Driver
"Mr. Cab Driver" is a politically charged rock-funk song by Lenny Kravitz, known for its raw guitar sound and lyrics confronting racism and prejudice.
-
B.
The Great Miss Driver
The Great Miss Driver is a lesser-known novel by British author Anthony Hope, best known for his adventure classic "The Prisoner of Zenda."
-
C.
Taxi for Two
Taxi for Two is a song by the pop group The Taxi Boys.
-
D.
Carry On Cabby
Carry On Cabby is a 1963 British comedy film in the long-running "Carry On" series, centered on the comic chaos at a London taxi firm and featuring Hattie Jacques among its ensemble cast.
-
E.
What Price Taxi
What Price Taxi is a song by the Boston punk band The Taxi Boys.
- 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: Lady Cab Driver Triple: [1999, hasPart, Lady Cab Driver]
Generated description
"Lady Cab Driver" is a funk-infused, sexually charged track by Prince from his acclaimed 1982 double album "1999."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lady Cab Driver Target entity description: "Lady Cab Driver" is a funk-infused, sexually charged track by Prince from his acclaimed 1982 double album "1999."
-
A.
Mr. Cab Driver
"Mr. Cab Driver" is a politically charged rock-funk song by Lenny Kravitz, known for its raw guitar sound and lyrics confronting racism and prejudice.
-
B.
The Great Miss Driver
The Great Miss Driver is a lesser-known novel by British author Anthony Hope, best known for his adventure classic "The Prisoner of Zenda."
-
C.
Taxi for Two
Taxi for Two is a song by the pop group The Taxi Boys.
-
D.
Carry On Cabby
Carry On Cabby is a 1963 British comedy film in the long-running "Carry On" series, centered on the comic chaos at a London taxi firm and featuring Hattie Jacques among its ensemble cast.
-
E.
What Price Taxi
What Price Taxi is a song by the Boston punk band The Taxi Boys.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c8f59dc8190854dfc0d287731c6 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107d677c08190a438659c170bab72 |
completed | April 4, 2026, 12:45 p.m. |
| NEDg | Description generation | batch_69d1086f03808190896186daa5857e39 |
completed | April 4, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1090215308190beda7c0115020f5b |
completed | April 4, 2026, 12:50 p.m. |
Created at: March 30, 2026, 7:49 p.m.