Triple
T14915161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Howard Stern Show |
E371362
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Jackie Martling |
E987453
|
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: Jackie Martling | Statement: [The Howard Stern Show, hasCastMember, Jackie Martling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jackie Martling Context triple: [The Howard Stern Show, hasCastMember, Jackie Martling]
-
A.
Jackie Martling
chosen
Jackie Martling is an American comedian and writer best known as a longtime joke writer and on-air personality for The Howard Stern Show.
-
B.
Jackie Hyde
Jackie Hyde is best known as the wife of American folk singer-songwriter Arlo Guthrie.
-
C.
Jackie Young
Jackie Young is an actor known for appearing in the Hardy Boys film "Out West with the Hardys."
-
D.
Jackie Young
Jackie Young is an American professional basketball player and WNBA All-Star who starred at the University of Notre Dame, helping lead the Fighting Irish to a national championship.
-
E.
Jackie Williams
Jackie Williams is an actor known for appearing in the film "Out West with the Hardys."
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61f1d488190995f847f84d72cdc |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72bd18148190ab28744678c22993 |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:27 a.m.