Triple
T17275390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassim |
E419377
|
entity |
| Predicate | conflictWith |
P4897
|
FINISHED |
| Object | forty thieves |
E418774
|
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: forty thieves | Statement: [Cassim, conflictWith, forty thieves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: forty thieves Context triple: [Cassim, conflictWith, forty thieves]
-
A.
forty thieves
chosen
The forty thieves are a band of robbers from the Middle Eastern folk tale "Ali Baba and the Forty Thieves," known for their secret treasure cave opened with the phrase "Open, Sesame."
-
B.
The King of the Thieves
The King of the Thieves is a crime novel by British author John Gardner that follows the intricate schemes and underworld dealings of professional criminals.
-
C.
The Thief
The Thief is a 1952 American film noir notable for its nearly wordless storytelling and tense Cold War espionage plot.
-
D.
The Good Thief
The Good Thief is a 2002 crime drama film directed by Neil Jordan that follows an aging gambler and thief attempting one last elaborate heist on the French Riviera.
-
E.
Honest Thief
Honest Thief is a 2020 action-thriller film starring Liam Neeson as a reformed bank robber who becomes the target of corrupt FBI agents after trying to turn himself in.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4332566c08190b4495dbbfe310ab6 |
completed | April 19, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01794f6cf481909d76e3d61f9888c5 |
completed | May 11, 2026, 6:38 a.m. |
Created at: April 10, 2026, 5:40 a.m.