Triple
T10069658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pete Rouse |
E213586
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rouse |
E131654
|
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: Rouse | Statement: [Pete Rouse, familyName, Rouse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rouse Context triple: [Pete Rouse, familyName, Rouse]
-
A.
Rouse
chosen
Rouse is a surname most notably associated with Pete Rouse, an American political consultant and former White House official.
-
B.
Rabble
Rabble is one of the individual prints from Francisco Goya’s harrowing anti-war series *The Disasters of War*, depicting the chaos and brutality inflicted on ordinary people.
-
C.
الروشة
الروشة حي ساحلي شهير في بيروت اللبنانية معروف بصخور الروشة البارزة في البحر ومقاهيه وإطلالته البحرية السياحية.
-
D.
Rushes
"Rushes" is a notable work by the artist known as The Fireman, the experimental music project of Paul McCartney and producer Youth.
-
E.
Uproar
"Uproar" is a popular 2018 hip-hop single by Lil Wayne, known for its energetic beat, viral dance challenge, and prominent use of a classic G Herbo/DMX-style sample.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcffa045c8190a08db0bb74cb006a |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29aa05cc881909f59178e9c6c01ef |
completed | April 5, 2026, 5:23 p.m. |
Created at: March 30, 2026, 8:58 p.m.