Triple
T17217225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridge of Death |
E417883
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Sir Robin |
E417881
|
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: Sir Robin | Statement: [Bridge of Death, associatedWith, Sir Robin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sir Robin Context triple: [Bridge of Death, associatedWith, Sir Robin]
-
A.
Sir Robin
chosen
Sir Robin is a comically cowardly knight from the film "Monty Python and the Holy Grail," known for fleeing danger despite his supposed bravery.
-
B.
Sir Robin Janvrin
Sir Robin Janvrin is a British former diplomat and courtier best known for serving as Private Secretary to Queen Elizabeth II.
-
C.
Sir Kay
Sir Kay is a knight of Arthurian legend, traditionally depicted as King Arthur’s foster brother and seneschal, often characterized by his brash and sometimes boorish demeanor.
-
D.
Sir Lancelot Spratt
Sir Lancelot Spratt is a famously bombastic and authoritarian surgeon character from the British "Doctor" comedy films and novels.
-
E.
Sir Te
Sir Te is a respected nobleman and mentor figure in the film "Crouching Tiger, Hidden Dragon," known for safeguarding the legendary sword Green Destiny.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dda6e6c81908dd96f653cd2cba0 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01675381a0819094ed04eac636440b |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.