Triple
T17200527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boy with Thorn |
E417461
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Spinario |
E553189
|
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: Spinario | Statement: [Boy with Thorn, hasTitle, Spinario]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spinario Context triple: [Boy with Thorn, hasTitle, Spinario]
-
A.
Spinario
chosen
Spinario is an ancient Roman bronze sculpture depicting a boy removing a thorn from his foot, celebrated for its naturalistic detail and emotional realism.
-
B.
Spynie
Spynie is a small settlement in Moray, Scotland, historically associated with the nearby medieval Spynie Palace.
-
C.
Spiner
Spiner is the surname of American actor Brent Spiner, best known for portraying the android Data in the Star Trek franchise.
-
D.
Weequays
Weequays are a tough, leathery-skinned humanoid species in the Star Wars universe, often depicted as pirates, mercenaries, or guards associated with criminal elements like Jabba the Hutt.
-
E.
Pericos
Pericos is the popular nickname for Spanish football club RCD Espanyol and its supporters.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42daf2e5c81909c97d2e7a3ed7b88 |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fda06788190882aef1a57356e41 |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:38 a.m.