Triple
T10086707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Galahad |
E215239
|
entity |
| Predicate | contrastedWith |
P278
|
FINISHED |
| Object | Lancelot |
E38009
|
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: Lancelot | Statement: [Sir Galahad, contrastedWith, Lancelot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lancelot Context triple: [Sir Galahad, contrastedWith, Lancelot]
-
A.
Lancelot
Lancelot is the codename of Roxy Morton, a skilled Kingsman agent in the "Kingsman" film series.
-
B.
Sir Lancelot
chosen
Sir Lancelot is one of the most famous Knights of the Round Table in Arthurian legend, renowned for his unmatched prowess in battle and his tragic love affair with Queen Guinevere.
-
C.
Gauvain
Gauvain is a noble and idealistic young revolutionary who serves as one of the central figures in Victor Hugo’s novel "Quatrevingt-treize," embodying the moral and political conflicts of the French Revolution.
-
D.
Lancelot Heath
Lancelot Heath is an individual notable enough to be recognized as a prominent bearer of the surname Heath.
-
E.
Lancelot Holland
Lancelot Holland was a British Royal Navy admiral best known for leading the battlecruiser force that engaged the German battleship Bismarck during World War II.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04745b48190a77c422eb76b6660 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cbd822a08190841e51862e5e1e27 |
completed | April 5, 2026, 8:53 p.m. |
Created at: March 30, 2026, 9:01 p.m.