Triple
T15927068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The 4400 |
E386229
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Patrick Flueger |
E880483
|
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: Patrick Flueger | Statement: [The 4400, portrayedBy, Patrick Flueger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrick Flueger Context triple: [The 4400, portrayedBy, Patrick Flueger]
-
A.
Patrick Flueger
chosen
Patrick Flueger is an American actor best known for his role as Adam Ruzek on the television series "Chicago P.D."
-
B.
Patrick John Flueger
Patrick John Flueger is an American actor best known for his role as Officer Adam Ruzek on the television series "Chicago P.D."
-
C.
Eric Klieg
Eric Klieg is a human villain from the Doctor Who universe, known for his role in the Second Doctor serial "The Tomb of the Cybermen."
-
D.
John Landgraf
John Landgraf is an American television executive best known as the longtime head of FX Networks and FX Productions, where he has overseen numerous critically acclaimed series.
-
E.
David Siegel
David Siegel is an author known for writing the book "Escape."
- 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_69ffb5b0833081909668c042234b5b75 |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:52 a.m.