Triple
T2495999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Overwatch |
E52152
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object | Reinhardt |
E185835
|
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: Reinhardt | Statement: [Overwatch, notableCharacter, Reinhardt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reinhardt Context triple: [Overwatch, notableCharacter, Reinhardt]
-
A.
Reinhardt
Reinhardt is a supporting character in the 2002 vampire action film "Blade II," appearing as a member of the Bloodpack team that initially allies with Blade.
-
B.
Reinhardt
chosen
Reinhardt is a German-language surname borne by numerous notable individuals across fields such as music, military history, and the arts.
-
C.
Auron
Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
-
D.
Arno
The Arno is a major river in central Italy that flows through cities such as Florence and Pisa before emptying into the Ligurian Sea.
-
E.
Reinhard
Reinhard is a masculine German given name historically borne by several notable figures, including high-ranking officials in Nazi Germany.
- 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_69ab4955111c8190835bf619adec21ff |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1abd3688190b5874249e1e333bc |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f98a1a48190bc9eeb25868a2f9b |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:45 p.m.