Triple
T15927079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The 4400 |
E386229
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Scott Peters |
E1184835
|
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: Scott Peters | Statement: [The 4400, executiveProducer, Scott Peters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Peters Context triple: [The 4400, executiveProducer, Scott Peters]
-
A.
Scott Peters
chosen
Scott Peters is a television writer and producer best known for co-creating the science fiction series "The 4400."
-
B.
Mike Royce
Mike Royce is an American television writer and producer known for his work on acclaimed comedy series such as Everybody Loves Raymond and the 2017 reboot of One Day at a Time.
-
C.
Mike Donnelly
Mike Donnelly is the well-meaning but accident-prone protagonist of the comedy film "Black Sheep," whose misadventures jeopardize his brother’s political campaign.
-
D.
Duncan Hunter
Duncan Hunter is a conservative American politician and former U.S. Representative from California known for his strong defense and border security positions.
-
E.
Justin Wilcox
Justin Wilcox is an American college football coach best known as the head coach of the University of California, Berkeley Golden Bears.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156866de48190a744e8dcaa0c66f1 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe727c348190907c9e7a5db6031d |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.