Triple
T10261405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Me, Myself and I |
E240605
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Robert Waller |
E826612
|
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: Robert Waller | Statement: [Me, Myself and I, writer, Robert Waller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Waller Context triple: [Me, Myself and I, writer, Robert Waller]
-
A.
Robert Waller
chosen
Robert Waller is a songwriter best known for co-writing Destiny's Child's hit ballad "Cater 2 U."
-
B.
Robert James Waller
Robert James Waller was an American author and photographer best known for writing the bestselling romantic novel "The Bridges of Madison County."
-
C.
Alex Reiger
Alex Reiger is the level-headed, philosophical cab driver who serves as the central character in the classic television sitcom "Taxi."
-
D.
George Hackathorne
George Hackathorne was an American silent film actor active in the 1910s and 1920s, known for his roles in early Hollywood productions.
-
E.
John Black
John Black is a television director best known for his work on the Doctor Who spin-off special "K-9 and Company."
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d25c8dec8190af9160d9338ffc9c |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71cdcdf8c81909f5a2be1c3aa03a0 |
completed | April 9, 2026, 3:28 a.m. |
Created at: April 6, 2026, 11:32 a.m.