Triple
T15960211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | See It Now |
E387036
|
entity |
| Predicate | hasKeyFigure |
P810
|
FINISHED |
| Object | Fred W. Friendly |
E1188286
|
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: Fred W. Friendly | Statement: [See It Now, hasKeyFigure, Fred W. Friendly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred W. Friendly Context triple: [See It Now, hasKeyFigure, Fred W. Friendly]
-
A.
Fred W. Friendly
chosen
Fred W. Friendly was an influential American television producer and broadcast journalist best known for his pioneering work in public affairs programming and his collaboration with Edward R. Murrow.
-
B.
Harold G. Kiner
Harold G. Kiner was a United States Army soldier and Medal of Honor recipient who was killed in action during World War II.
-
C.
Ralph Fine
Ralph Fine is the namesake of Fine Hall, the mathematics building at Princeton University.
-
D.
Hank Corwin
Hank Corwin is an acclaimed American film editor known for his impressionistic, nonlinear cutting style on films such as The Tree of Life, The Big Short, and Vice.
-
E.
Herman Raucher
Herman Raucher is an American author and screenwriter best known for writing the nostalgic coming-of-age film and novel "Summer of '42."
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156fe82d081908b5d41bc5a709de2 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbc6f4c08190b816bf6d92114ad2 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:53 a.m.