Triple
T120222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robin Hood |
E2428
|
entity |
| Predicate | ally |
P4662
|
FINISHED |
| Object | Friar Tuck |
E13560
|
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: Friar Tuck | Statement: [Robin Hood, ally, Friar Tuck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Friar Tuck Context triple: [Robin Hood, ally, Friar Tuck]
-
A.
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.
-
B.
Merry Men
chosen
The Merry Men are the legendary band of outlaws who accompany Robin Hood in English folklore, known for robbing the rich to aid the poor.
-
C.
Bertram
Bertram is a masculine given name of Germanic origin, historically associated with nobility and later borne by various notable figures in arts, architecture, and literature.
-
D.
Geoffrey Crayon
Geoffrey Crayon is the fictional narrator and persona created by Washington Irving, best known for presenting tales such as those in "The Sketch Book," including "The Legend of Sleepy Hollow."
-
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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a25715cfb881909ffb488f21a4a16d |
completed | Feb. 28, 2026, 2:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2aa453a8c81908d6d4d14aff8522e |
completed | Feb. 28, 2026, 8:41 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.