Triple
T6291877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Officer |
E141036
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Gil Green |
E527994
|
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: Gil Green | Statement: [Mrs. Officer, musicVideoDirector, Gil Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gil Green Context triple: [Mrs. Officer, musicVideoDirector, Gil Green]
-
A.
Gil Green
chosen
Gil Green is an American music video director known for his work with prominent hip-hop and R&B artists.
-
B.
Andy Williams
Andy Williams was an American pop singer and television host renowned for his smooth voice and classic renditions of popular standards and Christmas songs.
-
C.
Gary Crosby
Gary Crosby was an American singer and actor, known both for his work in film, television, and music and for being the son of entertainer Bing Crosby.
-
D.
Bobby Darin
Bobby Darin was an American singer, songwriter, and actor known for his versatile pop, jazz, and rock performances, with hits like "Mack the Knife" and "Beyond the Sea."
-
E.
Freddy Cannon
Freddy Cannon is an American rock and roll singer best known for his energetic 1950s–60s hits like "Tallahassee Lassie" and "Palisades Park."
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0641ea224819097b6962e6014c690 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c603f715a08190b44156b4f5166631 |
completed | March 27, 2026, 4:13 a.m. |
Created at: March 22, 2026, 4:27 p.m.