Triple
T3955964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamlet (stage performances) |
E84977
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Horatio |
E48874
|
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: Horatio | Statement: [Hamlet (stage performances), hasCharacter, Horatio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Horatio Context triple: [Hamlet (stage performances), hasCharacter, Horatio]
-
A.
Horatio
chosen
Horatio is a variant form of the given name Horace, historically associated with Latin origins and classical literature.
-
B.
Arthur
Arthur is a masculine given name of Celtic origin, historically associated with legendary and royal figures, most famously King Arthur of Britain.
-
C.
Arthur
Arthur is the codename of the refined, high-ranking leader of the Kingsman organization in the action-spy film "Kingsman: The Secret Service."
-
D.
Arthur
Arthur is a skilled point man and strategist in the film "Inception," known for his meticulous planning and execution of shared dream heists alongside Dom Cobb.
-
E.
Arthur
Arthur is a central character, likely a leader or protagonist, around whom allies such as Goosefat Bill rally in a shared cause or conflict.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef93f3ad48190b96b98b4aecd6030 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533aea08c8190b83d83e3ba89848c |
completed | March 14, 2026, 10:08 a.m. |
Created at: March 9, 2026, 3:30 p.m.