Triple
T15194799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wrecking Crew |
E363114
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Mrs. Robinson |
E243065
|
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: Mrs. Robinson | Statement: [The Wrecking Crew, workedOn, Mrs. Robinson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mrs. Robinson Context triple: [The Wrecking Crew, workedOn, Mrs. Robinson]
-
A.
Mrs. Robinson
chosen
"Mrs. Robinson" is a famous 1968 folk-rock song by Simon & Garfunkel, widely associated with the film *The Graduate* and known for its cultural commentary and memorable chorus.
-
B.
Mrs. Robinson
Mrs. Robinson is a central character in the novel and film "The Graduate," known as the older woman who has an affair with the young protagonist, Benjamin Braddock.
-
C.
Marilyn
Marilyn is the given first name of American country music singer Jeannie Seely.
-
D.
Marilyn
A Marilyn is a type of British hill or mountain classified by having a prominence of at least 150 meters, regardless of its absolute height.
-
E.
Marilyn
Marilyn is the middle name of Toni Marilyn Smith.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067eb710819085211fd05d5fa5f0 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3304464819083732a23e650c649 |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:10 a.m.