Triple
T2692800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Wallace |
E58442
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | 60 Minutes |
E37947
|
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: 60 Minutes | Statement: [Mike Wallace, notableWork, 60 Minutes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 60 Minutes Context triple: [Mike Wallace, notableWork, 60 Minutes]
-
A.
60 Minutes
chosen
60 Minutes is a long-running American television news magazine program known for its in-depth investigative reporting and interviews.
-
B.
NBC Nightly News
NBC Nightly News is a long-running American evening television news program that provides national and international news coverage on the NBC network.
-
C.
Firing Line
Firing Line was a long-running American public affairs television program known for its intellectual debates and conservative perspective, moderated by William F. Buckley Jr.
-
D.
CBS Mornings
CBS Mornings is a weekday morning news and talk program on CBS that features national and international news, interviews, and lifestyle segments.
-
E.
The Today Show
The Today Show is a long-running American morning television news and talk program on NBC featuring news, interviews, weather, and lifestyle segments.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda0dd97c81909a60cf200f57c087 |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf6501088190b8fe1ba8de4f6e00 |
completed | March 10, 2026, 5:43 a.m. |
Created at: March 6, 2026, 9:54 p.m.