Triple
T7145680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edmund Muskie |
E166560
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Muskie |
E166560
|
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: Muskie | Statement: [Edmund Muskie, familyName, Muskie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muskie Context triple: [Edmund Muskie, familyName, Muskie]
-
A.
Muskie
chosen
Muskie is a surname most notably associated with Edmund Muskie, a prominent American politician and former U.S. Secretary of State.
-
B.
Walleye
The walleye is a popular North American freshwater game fish prized by anglers for its excellent taste and challenging sport.
-
C.
largemouth bass
The largemouth bass is a popular North American freshwater game fish known for its aggressive strikes, strong fighting ability, and importance to recreational angling.
-
D.
Karpf
Karpf is a surname of German origin, likely a variant of "Karp," borne by various individuals across German-speaking regions.
-
E.
Sturgeon
Sturgeon is a surname most prominently associated with Nicola Sturgeon, the former First Minister of Scotland and leader of the Scottish National Party.
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7d3c48c8190a71a61a1d50cd7da |
completed | March 27, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ada12a848190b6e98e0b1a258c17 |
completed | March 28, 2026, 10:29 a.m. |
Created at: March 27, 2026, 2:46 p.m.