Triple
T2386211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tinker Tailor Soldier Spy |
E48828
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Peter Guillam |
E246496
|
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: Peter Guillam | Statement: [Tinker Tailor Soldier Spy, featuresCharacter, Peter Guillam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Guillam Context triple: [Tinker Tailor Soldier Spy, featuresCharacter, Peter Guillam]
-
A.
Peter Guillam
chosen
Peter Guillam is a loyal, resourceful British intelligence officer and close ally of spymaster George Smiley in John le Carré’s espionage novels.
-
B.
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.
-
C.
Mike Southon
Mike Southon is a British cinematographer known for his work on feature films, television, and commercials.
-
D.
Hugo Carmody
Hugo Carmody is a charming, somewhat hapless young gentleman from P. G. Wodehouse’s Blandings Castle stories, often embroiled in romantic entanglements and comic misadventures.
-
E.
Michael Foale
Michael Foale is a British-American astrophysicist and former NASA astronaut renowned for his long-duration missions on the Space Shuttle and Mir, and for being one of the most experienced spacefarers in history.
- 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_69a88aa5f63081908d07fd302029fcbd |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc7d9d8148190bb8aa16fd4364aba |
completed | March 7, 2026, 6:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8bcb8c88190b57fd4d0a76209a5 |
completed | March 9, 2026, 11:02 a.m. |
Created at: March 4, 2026, 7:57 p.m.