Triple
T1787677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skyfall |
E39426
|
entity |
| Predicate | precedes |
P97
|
FINISHED |
| Object | Spectre |
E50720
|
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: Spectre | Statement: [Skyfall, precedes, Spectre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spectre Context triple: [Skyfall, precedes, Spectre]
-
A.
Spectre
chosen
Spectre is the 2015 James Bond spy film directed by Sam Mendes and starring Daniel Craig as 007, featuring the iconic criminal organization of the same name.
-
B.
Skyfall
Skyfall is the 2012 James Bond film starring Daniel Craig, renowned for its darker tone, striking cinematography, and the hit title song performed by Adele.
-
C.
No Time to Die
No Time to Die is a 2021 James Bond spy film starring Daniel Craig in his final outing as 007, featuring Rami Malek as the primary antagonist.
-
D.
Casino Royale
Casino Royale is the first James Bond novel by Ian Fleming, introducing the iconic British secret agent in a high-stakes mission against a Soviet-backed financier.
-
E.
Kingsman: The Secret Service
Kingsman: The Secret Service is a stylish, action-comedy spy film that parodies and modernizes the classic British secret agent genre with over-the-top violence and sharp humor.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa650fd3448190a6a2c979db982cae |
completed | March 6, 2026, 5:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada9a8a69c8190885bf06a06d3869f |
completed | March 8, 2026, 4:54 p.m. |
Created at: March 4, 2026, 7:32 p.m.