Triple
T2102748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilfred |
E37126
|
entity |
| Predicate | shortForm |
P43
|
FINISHED |
| Object | Fred |
E34276
|
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: Fred | Statement: [Wilfred, shortForm, Fred]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred Context triple: [Wilfred, shortForm, Fred]
-
A.
Fred
chosen
Fred is the given name of Fred Rogers, the beloved American television host and creator of the children's program "Mister Rogers' Neighborhood."
-
B.
Frank
Frank is a common surname of Germanic origin borne by numerous notable individuals across politics, arts, and other fields.
-
C.
Frank
Frank is the given name of the renowned Canadian-American architect Frank Gehry, celebrated for his deconstructivist and sculptural building designs.
-
D.
Freddie
Freddie is a common diminutive given name, typically used as a nickname for Alfred or similar names.
-
E.
Frey
Frey is the central protagonist of the game Elysium, around whom the story’s main events and character development revolve.
- 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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abbabe1e9081908ea66c5406e2f1d9 |
completed | March 7, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae518fb0b4819096a8ce455e22661a |
completed | March 9, 2026, 4:50 a.m. |
Created at: March 4, 2026, 7:43 p.m.