Triple
T5513937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Avengers |
E144635
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Patrick Macnee |
E392263
|
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 Macnee | Statement: [The Avengers, starring, Patrick Macnee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrick Macnee Context triple: [The Avengers, starring, Patrick Macnee]
-
A.
Patrick Macnee
chosen
Patrick Macnee was a British actor best known for his role as the suave secret agent John Steed in the television series "The Avengers."
-
B.
Patrick McGoohan
Patrick McGoohan was an Irish-American actor and director best known for his intense, enigmatic performances in film and television, particularly in the cult TV series "The Prisoner."
-
C.
Raymond Shaw
Raymond Shaw is the brainwashed Korean War veteran and Medal of Honor recipient whose programmed assassination role drives the political thriller plot of "The Manchurian Candidate."
-
D.
Harry Palmer
Harry Palmer is the central protagonist of the musical film "For Me and My Gal," around whom the story’s romantic and dramatic events revolve.
-
E.
Roland Caulder
Roland Caulder is an actor known for his role in the film "The Iron Mask."
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f5b4e988190b590b4157cf089c1 |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027d52b808190ada94893b043fb19 |
completed | March 22, 2026, 5:33 p.m. |
Created at: March 22, 2026, 3:33 p.m.