Triple
T9789258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wedding Date |
E237565
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Blake Neely |
E270684
|
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: Blake Neely | Statement: [The Wedding Date, musicBy, Blake Neely]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blake Neely Context triple: [The Wedding Date, musicBy, Blake Neely]
-
A.
Blake Neely
chosen
Blake Neely is an American composer best known for his television and film scores, including work on series like "Arrow," "The Flash," and "Riverdale."
-
B.
Blake Neale
Blake Neale is an actor known for playing the character Topa in the science fiction television series "The Orville."
-
C.
Ryan Nece
Ryan Nece is a former American football linebacker who played in the NFL, primarily for the Tampa Bay Buccaneers.
-
D.
Sam Healy
Sam Healy is a fictional prison counselor and correctional officer in the television series "Orange Is the New Black."
-
E.
Craig Neal
Craig Neal is an American basketball coach and former player best known for serving as head coach of the University of New Mexico Lobos men's basketball team.
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda214875481909f39e1d4dbac1fdb |
completed | April 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eac78b1881908e77c3678f98fac9 |
completed | April 5, 2026, 4:53 a.m. |
Created at: March 30, 2026, 8:27 p.m.