Triple
T8986091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Porter |
E214667
|
entity |
| Predicate | parentOf |
P120
|
FINISHED |
| Object | Carl Porter |
E743022
|
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: Carl Porter | Statement: [Jack Porter, parentOf, Carl Porter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Porter Context triple: [Jack Porter, parentOf, Carl Porter]
-
A.
Carl Porter
chosen
Carl Porter is a character from the television series "Revenge," known as the son of Amanda Clarke and Jack Porter.
-
B.
Darrell Porter
Darrell Porter was an American Major League Baseball catcher best known for his standout postseason performances in the late 1970s and early 1980s, including key roles with the Kansas City Royals and St. Louis Cardinals.
-
C.
John Porter
John Porter is a British record producer and musician best known for his work on influential blues and rock albums.
-
D.
Thomas Porter
Thomas Porter is a prominent computer graphics researcher and pioneer known for his influential work in digital image compositing and contributions recognized by the Steven A. Coons Award.
-
E.
Chris Porter
Chris Porter is a music producer best known for his work on the hit song "Back for Good" by Take That.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67eddbf08190afca16e0be435241 |
completed | April 1, 2026, 12:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0bdb05c8190bb1fb5f0272a450a |
completed | April 3, 2026, 2:37 p.m. |
Created at: March 30, 2026, 7:03 p.m.