Triple
T16985512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libby Geist |
E412053
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | 30 for 30 |
E37945
|
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: 30 for 30 | Statement: [Libby Geist, notableWork, 30 for 30]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 30 for 30 Context triple: [Libby Geist, notableWork, 30 for 30]
-
A.
30 for 30
chosen
30 for 30 is an acclaimed ESPN documentary film series that explores pivotal stories, personalities, and events in sports history.
-
B.
Studio 360
Studio 360 is a radio show and podcast that explores contemporary arts, culture, and creativity through interviews, storytelling, and critical commentary.
-
C.
The Last Dance
The Last Dance is a sports documentary miniseries chronicling Michael Jordan and the Chicago Bulls’ 1997–98 championship season, interwoven with a broader look at Jordan’s career and legacy.
-
D.
Documentary Now!
Documentary Now! is a satirical television series that parodies famous documentary films and styles, co-created by and starring comedian Bill Hader.
-
E.
60 Minutes
60 Minutes is a long-running American television news magazine program known for its in-depth investigative reporting and interviews.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d18af95c8190a25ef0614e1a17f3 |
completed | April 18, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc1109a081908890bbd5958c76c2 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.