Triple
T7904545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Gump – Sally Field |
E183538
|
entity |
| Predicate | coStarsWith |
P14987
|
FINISHED |
| Object | Mykelti Williamson |
E38461
|
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: Mykelti Williamson | Statement: [Mrs. Gump – Sally Field, coStarsWith, Mykelti Williamson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mykelti Williamson Context triple: [Mrs. Gump – Sally Field, coStarsWith, Mykelti Williamson]
-
A.
Mykelti Williamson
chosen
Mykelti Williamson is an American actor best known for his roles in films such as "Forrest Gump," where he played Bubba, and numerous television series.
-
B.
Bryant Myers
Bryant Myers is a Puerto Rican Latin trap and reggaeton artist known for his gritty lyrics and collaborations with major urban artists.
-
C.
Warrick Brown
Warrick Brown is a fictional crime scene investigator and forensic analyst on the television series "CSI: Crime Scene Investigation."
-
D.
Tye-V Smith
Tye-V Smith is a music producer known for his work on the track "When You Really Love Someone."
-
E.
Muhammad Wilkerson
Muhammad Wilkerson is an American former NFL defensive end best known for his Pro Bowl tenure with the New York Jets after a standout college career at Temple University.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a4331cc8190b50301c78767a850 |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bc35cec8190bda3dfe7d8d4ed18 |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5:02 p.m.