Triple
T13788502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skip Bayless |
E331327
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | First Take |
E136831
|
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: First Take | Statement: [Skip Bayless, notableWork, First Take]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: First Take Context triple: [Skip Bayless, notableWork, First Take]
-
A.
First Take
chosen
First Take is an ESPN sports talk show featuring lively debates and commentary on current sports topics.
-
B.
First Take
First Take is the critically acclaimed 1969 debut studio album by soul and R&B singer Roberta Flack, featuring her breakthrough hit "The First Time Ever I Saw Your Face."
-
C.
Best Take
Best Take is a Google Pixel camera feature that lets you combine multiple group photos to swap faces and expressions so everyone looks their best in a single shot.
-
D.
Face the Nation
Face the Nation is a long-running American Sunday morning public affairs television program featuring interviews with political leaders and analysis of current events.
-
E.
IFC First Take
IFC First Take is an independent film distribution label associated with IFC Films, known for releasing arthouse and indie movies.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0249e4f88190a80316394940627d |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b07f5cf48190b59827efb5918a95 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:11 p.m.