Triple
T537822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Malory |
E12364
|
entity |
| Predicate | workSubject |
P7040
|
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: [Thomas Malory, workSubject, Lancelot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lancelot Context triple: [Thomas Malory, workSubject, Lancelot]
-
A.
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.
-
B.
Gawain
Gawain is a legendary knight of King Arthur’s Round Table in Arthurian literature, renowned for his chivalry and central role in tales such as "Sir Gawain and the Green Knight."
-
C.
Knight of the Bath
The Knight of the Bath is a rank of knighthood within the British Order of the Bath, historically bestowed as a high honor for distinguished military or civil service.
-
D.
Geoffrey
Geoffrey is a masculine given name of English origin, famously borne by pioneering computer scientist and AI researcher Geoffrey Hinton.
-
E.
Goodwin Knight
Goodwin Knight was an American Republican politician who served as the 31st governor of California in the 1950s.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49d278cf88190ad1368da91a7014f |
completed | March 1, 2026, 8:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4cc5aec388190861b0ee100790c7a |
completed | March 1, 2026, 11:31 p.m. |
Created at: March 1, 2026, 7:32 p.m.