Triple
T6751675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Exception and the Rule |
E154353
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | the Porter |
E395427
|
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: the Porter | Statement: [The Exception and the Rule, character, the Porter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the Porter Context triple: [The Exception and the Rule, character, the Porter]
-
A.
Porter
chosen
Porter is a common English occupational surname historically given to gatekeepers or doorkeepers.
-
B.
Porter
Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
-
C.
Mr. Porter
Mr. Porter is an American hip-hop producer and rapper best known as a longtime member of D12 and frequent collaborator of Eminem.
-
D.
Beckett
Beckett is a surname most famously associated with Samuel Beckett, the Irish avant-garde novelist, playwright, and Nobel Prize–winning author of "Waiting for Godot."
-
E.
Butler
Butler is the party that served as the defendant in the landmark U.S. Supreme Court case United States v. Butler, which addressed the constitutionality of certain New Deal agricultural policies.
- 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_69c6880ef37881909268a5a7299b9293 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1dbc3a48190a35df5dad8c630e8 |
completed | March 27, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b1a0d7481908a813fa5c2e1ba6e |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:11 p.m.